blob: 611e8a108b4ce19a53a699f3d31e3f0e283a057b [file] [log] [blame]
Generic Threat Model
********************
************
Introduction
************
This document provides a generic threat model for TF-A firmware.
.. note::
This threat model doesn't consider Root and Realm worlds introduced by
:ref:`Realm Management Extension (RME)`.
********************
Target of Evaluation
********************
In this threat model, the target of evaluation is the Trusted
Firmware for A-class Processors (TF-A). This includes the boot ROM (BL1),
the trusted boot firmware (BL2) and the runtime EL3 firmware (BL31) as
shown on Figure 1. Everything else on Figure 1 is outside of the scope of
the evaluation.
TF-A can be configured in various ways. In this threat model we consider
only the most basic configuration. To that end we make the following
assumptions:
- All TF-A images are run from either ROM or on-chip trusted SRAM. This means
TF-A is not vulnerable to an attacker that can probe or tamper with off-chip
memory.
- Trusted boot is enabled. This means an attacker can't boot arbitrary images
that are not approved by platform providers.
- There is no Secure-EL2. We don't consider threats that may come with
Secure-EL2 software.
- No experimental features are enabled. We do not consider threats that may come
from them.
Data Flow Diagram
=================
Figure 1 shows a high-level data flow diagram for TF-A. The diagram
shows a model of the different components of a TF-A-based system and
their interactions with TF-A. A description of each diagram element
is given on Table 1. On the diagram, the red broken lines indicate
trust boundaries. Components outside of the broken lines
are considered untrusted by TF-A.
.. uml:: ../resources/diagrams/plantuml/tfa_dfd.puml
:caption: Figure 1: TF-A Data Flow Diagram
.. table:: Table 1: TF-A Data Flow Diagram Description
+-----------------+--------------------------------------------------------+
| Diagram Element | Description |
+=================+========================================================+
| DF1 | | At boot time, images are loaded from non-volatile |
| | memory and verified by TF-A boot firmware. These |
| | images include TF-A BL2 and BL31 images, as well as |
| | other secure and non-secure images. |
+-----------------+--------------------------------------------------------+
| DF2 | | TF-A log system framework outputs debug messages |
| | over a UART interface. |
+-----------------+--------------------------------------------------------+
| DF3 | | Debug and trace IP on a platform can allow access |
| | to registers and memory of TF-A. |
+-----------------+--------------------------------------------------------+
| DF4 | | Secure world software (e.g. trusted OS) interact |
| | with TF-A through SMC call interface and/or shared |
| | memory. |
+-----------------+--------------------------------------------------------+
| DF5 | | Non-secure world software (e.g. rich OS) interact |
| | with TF-A through SMC call interface and/or shared |
| | memory. |
+-----------------+--------------------------------------------------------+
| DF6 | | This path represents the interaction between TF-A and|
| | various hardware IPs such as TrustZone controller |
| | and GIC. At boot time TF-A configures/initializes the|
| | IPs and interacts with them at runtime through |
| | interrupts and registers. |
+-----------------+--------------------------------------------------------+
***************
Threat Analysis
***************
In this section we identify and provide assessment of potential threats to TF-A
firmware. The threats are identified for each diagram element on the
data flow diagram above.
For each threat, we identify the *asset* that is under threat, the
*threat agent* and the *threat type*. Each threat is given a *risk rating*
that represents the impact and likelihood of that threat. We also discuss
potential mitigations.
Assets
======
We have identified the following assets for TF-A:
.. table:: Table 2: TF-A Assets
+--------------------+---------------------------------------------------+
| Asset | Description |
+====================+===================================================+
| Sensitive Data | | These include sensitive data that an attacker |
| | must not be able to tamper with (e.g. the Root |
| | of Trust Public Key) or see (e.g. secure logs, |
| | debugging information such as crash reports). |
+--------------------+---------------------------------------------------+
| Code Execution | | This represents the requirement that the |
| | platform should run only TF-A code approved by |
| | the platform provider. |
+--------------------+---------------------------------------------------+
| Availability | | This represents the requirement that TF-A |
| | services should always be available for use. |
+--------------------+---------------------------------------------------+
Threat Agents
=============
To understand the attack surface, it is important to identify potential
attackers, i.e. attack entry points. The following threat agents are
in scope of this threat model.
.. table:: Table 3: Threat Agents
+-------------------+-------------------------------------------------------+
| Threat Agent | Description |
+===================+=======================================================+
| NSCode | | Malicious or faulty code running in the Non-secure |
| | world, including NS-EL0 NS-EL1 and NS-EL2 levels |
+-------------------+-------------------------------------------------------+
| SecCode | | Malicious or faulty code running in the secure |
| | world, including S-EL0 and S-EL1 levels |
+-------------------+-------------------------------------------------------+
| AppDebug | | Physical attacker using debug signals to access |
| | TF-A resources |
+-------------------+-------------------------------------------------------+
| PhysicalAccess | | Physical attacker having access to external device |
| | communication bus and to external flash |
| | communication bus using common hardware |
+-------------------+-------------------------------------------------------+
.. note::
In this threat model an advanced physical attacker that has the capability
to tamper with a hardware (e.g. "rewiring" a chip using a focused
ion beam (FIB) workstation or decapsulate the chip using chemicals) is
considered out-of-scope.
Threat Types
============
In this threat model we categorize threats using the `STRIDE threat
analysis technique`_. In this technique a threat is categorized as one
or more of these types: ``Spoofing``, ``Tampering``, ``Repudiation``,
``Information disclosure``, ``Denial of service`` or
``Elevation of privilege``.
Threat Risk Ratings
===================
For each threat identified, a risk rating that ranges
from *informational* to *critical* is given based on the likelihood of the
threat occuring if a mitigation is not in place, and the impact of the
threat (i.e. how severe the consequences could be). Table 4 explains each
rating in terms of score, impact and likelihood.
.. table:: Table 4: Rating and score as applied to impact and likelihood
+-----------------------+-------------------------+---------------------------+
| **Rating (Score)** | **Impact** | **Likelihood** |
+=======================+=========================+===========================+
| Critical (5) | | Extreme impact to | | Threat is almost |
| | entire organization | certain to be exploited.|
| | if exploited. | |
| | | | Knowledge of the threat |
| | | and how to exploit it |
| | | are in the public |
| | | domain. |
+-----------------------+-------------------------+---------------------------+
| High (4) | | Major impact to entire| | Threat is relatively |
| | organization or single| easy to detect and |
| | line of business if | exploit by an attacker |
| | exploited | with little skill. |
+-----------------------+-------------------------+---------------------------+
| Medium (3) | | Noticeable impact to | | A knowledgeable insider |
| | line of business if | or expert attacker could|
| | exploited. | exploit the threat |
| | | without much difficulty.|
+-----------------------+-------------------------+---------------------------+
| Low (2) | | Minor damage if | | Exploiting the threat |
| | exploited or could | would require |
| | be used in conjunction| considerable expertise |
| | with other | and resources |
| | vulnerabilities to | |
| | perform a more serious| |
| | attack | |
+-----------------------+-------------------------+---------------------------+
| Informational (1) | | Poor programming | | Threat is not likely |
| | practice or poor | to be exploited on its |
| | design decision that | own, but may be used to |
| | may not represent an | gain information for |
| | immediate risk on its | launching another |
| | own, but may have | attack |
| | security implications | |
| | if multiplied and/or | |
| | combined with other | |
| | threats. | |
+-----------------------+-------------------------+---------------------------+
Aggregate risk scores are assigned to identified threats;
specifically, the impact score multiplied by the likelihood score.
For example, a threat with high likelihood and low impact would have an
aggregate risk score of eight (8); that is, four (4) for high likelihood
multiplied by two (2) for low impact. The aggregate risk score determines
the finding's overall risk level, as shown in the following table.
.. table:: Table 5: Overall risk levels and corresponding aggregate scores
+---------------------+-----------------------------------+
| Overall Risk Level | Aggregate Risk Score |
| | (Impact multiplied by Likelihood) |
+=====================+===================================+
| Critical | 20–25 |
+---------------------+-----------------------------------+
| High | 12–19 |
+---------------------+-----------------------------------+
| Medium | 6–11 |
+---------------------+-----------------------------------+
| Low | 2–5 |
+---------------------+-----------------------------------+
| Informational | 1 |
+---------------------+-----------------------------------+
The likelihood and impact of a threat depends on the
target environment in which TF-A is running. For example, attacks
that require physical access are unlikely in server environments while
they are more common in Internet of Things(IoT) environments.
In this threat model we consider three target environments:
``Internet of Things(IoT)``, ``Mobile`` and ``Server``.
Threat Assessment
=================
The following threats were identified by applying STRIDE analysis on
each diagram element of the data flow diagram.
+------------------------+----------------------------------------------------+
| ID | 01 |
+========================+====================================================+
| Threat | | **An attacker can mangle firmware images to |
| | execute arbitrary code** |
| | |
| | | Some TF-A images are loaded from external |
| | storage. It is possible for an attacker to access|
| | the external flash memory and change its contents|
| | physically, through the Rich OS, or using the |
| | updating mechanism to modify the non-volatile |
| | images to execute arbitrary code. |
+------------------------+----------------------------------------------------+
| Diagram Elements | DF1, DF4, DF5 |
+------------------------+----------------------------------------------------+
| Affected TF-A | BL2, BL31 |
| Components | |
+------------------------+----------------------------------------------------+
| Assets | Code Execution |
+------------------------+----------------------------------------------------+
| Threat Agent | PhysicalAccess, NSCode, SecCode |
+------------------------+----------------------------------------------------+
| Threat Type | Tampering, Elevation of Privilege |
+------------------------+------------------+-----------------+---------------+
| Application | Server | IoT | Mobile |
+------------------------+------------------+-----------------+---------------+
| Impact | Critical (5) | Critical (5) | Critical (5) |
+------------------------+------------------+-----------------+---------------+
| Likelihood | Critical (5) | Critical (5) | Critical (5) |
+------------------------+------------------+-----------------+---------------+
| Total Risk Rating | Critical (25) | Critical (25) | Critical (25) |
+------------------------+------------------+-----------------+---------------+
| Mitigations | | TF-A implements the `Trusted Board Boot (TBB)`_ |
| | feature which prevents malicious firmware from |
| | running on the platform by authenticating all |
| | firmware images. In addition to this, the TF-A |
| | boot firmware performs extra checks on |
| | unauthenticated data, such as FIP metadata, prior|
| | to use. |
+------------------------+----------------------------------------------------+
+------------------------+----------------------------------------------------+
| ID | 02 |
+========================+====================================================+
| Threat | | **An attacker may attempt to boot outdated, |
| | potentially vulnerable firmware image** |
| | |
| | | When updating firmware, an attacker may attempt |
| | to rollback to an older version that has unfixed |
| | vulnerabilities. |
+------------------------+----------------------------------------------------+
| Diagram Elements | DF1, DF4, DF5 |
+------------------------+----------------------------------------------------+
| Affected TF-A | BL2, BL31 |
| Components | |
+------------------------+----------------------------------------------------+
| Assets | Code Execution |
+------------------------+----------------------------------------------------+
| Threat Agent | PhysicalAccess, NSCode, SecCode |
+------------------------+----------------------------------------------------+
| Threat Type | Tampering |
+------------------------+------------------+-----------------+---------------+
| Application | Server | IoT | Mobile |
+------------------------+------------------+-----------------+---------------+
| Impact | Critical (5) | Critical (5) | Critical (5) |
+------------------------+------------------+-----------------+---------------+
| Likelihood | Critical (5) | Critical (5) | Critical (5) |
+------------------------+------------------+-----------------+---------------+
| Total Risk Rating | Critical (25) | Critical (25) | Critical (25) |
+------------------------+------------------+-----------------+---------------+
| Mitigations | | TF-A supports anti-rollback protection using |
| | non-volatile counters (NV counters) as required |
| | by `TBBR-Client specification`_. After a firmware|
| | image is validated, the image revision number |
| | taken from a certificate extension field is |
| | compared with the corresponding NV counter stored|
| | in hardware to make sure the new counter value is|
| | larger or equal to the current counter value. |
| | Platforms must implement this protection using |
| | platform specific hardware NV counters. |
+------------------------+----------------------------------------------------+
+------------------------+-------------------------------------------------------+
| ID | 03 |
+========================+=======================================================+
| Threat | | **An attacker can use Time-of-Check-Time-of-Use |
| | (TOCTOU) attack to bypass image authentication |
| | during the boot process** |
| | |
| | | Time-of-Check-Time-of-Use (TOCTOU) threats occur |
| | when the security check is produced before the time |
| | the resource is accessed. If an attacker is sitting |
| | in the middle of the off-chip images, they could |
| | change the binary containing executable code right |
| | after the integrity and authentication check has |
| | been performed. |
+------------------------+-------------------------------------------------------+
| Diagram Elements | DF1 |
+------------------------+-------------------------------------------------------+
| Affected TF-A | BL1, BL2 |
| Components | |
+------------------------+-------------------------------------------------------+
| Assets | Code Execution, Sensitive Data |
+------------------------+-------------------------------------------------------+
| Threat Agent | PhysicalAccess |
+------------------------+-------------------------------------------------------+
| Threat Type | Elevation of Privilege |
+------------------------+---------------------+-----------------+---------------+
| Application | Server | IoT | Mobile |
+------------------------+---------------------+-----------------+---------------+
| Impact | N/A | Critical (5) | Critical (5) |
+------------------------+---------------------+-----------------+---------------+
| Likelihood | N/A | Medium (3) | Medium (3) |
+------------------------+---------------------+-----------------+---------------+
| Total Risk Rating | N/A | High (15) | High (15) |
+------------------------+---------------------+-----------------+---------------+
| Mitigations | | TF-A boot firmware copies image to on-chip |
| | memory before authenticating an image. |
+------------------------+-------------------------------------------------------+
+------------------------+-------------------------------------------------------+
| ID | 04 |
+========================+=======================================================+
| Threat | | **An attacker with physical access can execute |
| | arbitrary image by bypassing the signature |
| | verification stage using glitching techniques** |
| | |
| | | Glitching (Fault injection) attacks attempt to put |
| | a hardware into a undefined state by manipulating an|
| | environmental variable such as power supply. |
| | |
| | | TF-A relies on a chain of trust that starts with the|
| | ROTPK, which is the key stored inside the chip and |
| | the root of all validation processes. If an attacker|
| | can break this chain of trust, they could execute |
| | arbitrary code on the device. This could be |
| | achieved with physical access to the device by |
| | attacking the normal execution flow of the |
| | process using glitching techniques that target |
| | points where the image is validated against the |
| | signature. |
+------------------------+-------------------------------------------------------+
| Diagram Elements | DF1 |
+------------------------+-------------------------------------------------------+
| Affected TF-A | BL1, BL2 |
| Components | |
+------------------------+-------------------------------------------------------+
| Assets | Code Execution |
+------------------------+-------------------------------------------------------+
| Threat Agent | PhysicalAccess |
+------------------------+-------------------------------------------------------+
| Threat Type | Tampering, Elevation of Privilege |
+------------------------+---------------------+-----------------+---------------+
| Application | Server | IoT | Mobile |
+------------------------+---------------------+-----------------+---------------+
| Impact | N/A | Critical (5) | Critical (5) |
+------------------------+---------------------+-----------------+---------------+
| Likelihood | N/A | Medium (3) | Medium (3) |
+------------------------+---------------------+-----------------+---------------+
| Total Risk Rating | N/A | High (15) | High (15) |
+------------------------+---------------------+-----------------+---------------+
| Mitigations | | The most effective mitigation is adding glitching |
| | detection and mitigation circuit at the hardware |
| | level. However, software techniques, |
| | such as adding redundant checks when performing |
| | conditional branches that are security sensitive, |
| | can be used to harden TF-A against such attacks. |
| | **At the moment TF-A doesn't implement such |
| | mitigations.** |
+------------------------+-------------------------------------------------------+
+------------------------+---------------------------------------------------+
| ID | 05 |
+========================+===================================================+
| Threat | | **Information leak via UART logs such as |
| | crashes** |
| | |
| | | During the development stages of software it is |
| | common to include crash reports with detailed |
| | information of the CPU state including current |
| | values of the registers, privilege level and |
| | stack dumps. This information is useful when |
| | debugging problems before releasing the |
| | production version, but it could be used by an |
| | attacker to develop a working exploit if left |
| | in the production version. |
+------------------------+---------------------------------------------------+
| Diagram Elements | DF2 |
+------------------------+---------------------------------------------------+
| Affected TF-A | BL1, BL2, BL31 |
| Components | |
+------------------------+---------------------------------------------------+
| Assets | Sensitive Data |
+------------------------+---------------------------------------------------+
| Threat Agent | AppDebug |
+------------------------+---------------------------------------------------+
| Threat Type | Information Disclosure |
+------------------------+------------------+----------------+---------------+
| Application | Server | IoT | Mobile |
+------------------------+------------------+----------------+---------------+
| Impact | N/A | Low (2) | Low (2) |
+------------------------+------------------+----------------+---------------+
| Likelihood | N/A | High (4) | High (4) |
+------------------------+------------------+----------------+---------------+
| Total Risk Rating | N/A | Medium (8) | Medium (8) |
+------------------------+------------------+----------------+---------------+
| Mitigations | | In TF-A, crash reporting is only enabled for |
| | debug builds by default. Alternatively, the log |
| | level can be tuned at build time (from verbose |
| | to no output at all), independently of the |
| | build type. |
+------------------------+---------------------------------------------------+
+------------------------+----------------------------------------------------+
| ID | 06 |
+========================+====================================================+
| Threat | | **An attacker can read sensitive data and |
| | execute arbitrary code through the external |
| | debug and trace interface** |
| | |
| | | Arm processors include hardware-assisted debug |
| | and trace features that can be controlled without|
| | the need for software operating on the platform. |
| | If left enabled without authentication, this |
| | feature can be used by an attacker to inspect and|
| | modify TF-A registers and memory allowing the |
| | attacker to read sensitive data and execute |
| | arbitrary code. |
+------------------------+----------------------------------------------------+
| Diagram Elements | DF3 |
+------------------------+----------------------------------------------------+
| Affected TF-A | BL1, BL2, BL31 |
| Components | |
+------------------------+----------------------------------------------------+
| Assets | Code Execution, Sensitive Data |
+------------------------+----------------------------------------------------+
| Threat Agent | AppDebug |
+------------------------+----------------------------------------------------+
| Threat Type | Tampering, Information Disclosure, |
| | Elevation of privilege |
+------------------------+------------------+---------------+-----------------+
| Application | Server | IoT | Mobile |
+------------------------+------------------+---------------+-----------------+
| Impact | N/A | High (4) | High (4) |
+------------------------+------------------+---------------+-----------------+
| Likelihood | N/A | Critical (5) | Critical (5) |
+------------------------+------------------+---------------+-----------------+
| Total Risk Rating | N/A | Critical (20) | Critical (20) |
+------------------------+------------------+---------------+-----------------+
| Mitigations | | Configuration of debug and trace capabilities is |
| | platform specific. Therefore, platforms must |
| | disable the debug and trace capability for |
| | production releases or enable proper debug |
| | authentication as recommended by [`DEN0034`_]. |
+------------------------+----------------------------------------------------+
+------------------------+------------------------------------------------------+
| ID | 07 |
+========================+======================================================+
| Threat | | **An attacker can perform a denial-of-service |
| | attack by using a broken SMC call that causes the |
| | system to reboot or enter into unknown state.** |
| | |
| | | Secure and non-secure clients access TF-A services |
| | through SMC calls. Malicious code can attempt to |
| | place the TF-A runtime into an inconsistent state |
| | by calling unimplemented SMC call or by passing |
| | invalid arguments. |
+------------------------+------------------------------------------------------+
| Diagram Elements | DF4, DF5 |
+------------------------+------------------------------------------------------+
| Affected TF-A | BL31 |
| Components | |
+------------------------+------------------------------------------------------+
| Assets | Availability |
+------------------------+------------------------------------------------------+
| Threat Agent | NSCode, SecCode |
+------------------------+------------------------------------------------------+
| Threat Type | Denial of Service |
+------------------------+-------------------+----------------+-----------------+
| Application | Server | IoT | Mobile |
+------------------------+-------------------+----------------+-----------------+
| Impact | Medium (3) | Medium (3) | Medium (3) |
+------------------------+-------------------+----------------+-----------------+
| Likelihood | High (4) | High (4) | High (4) |
+------------------------+-------------------+----------------+-----------------+
| Total Risk Rating | High (12) | High (12) | High (12) |
+------------------------+-------------------+----------------+-----------------+
| Mitigations | | The generic TF-A code validates SMC function ids |
| | and arguments before using them. |
| | Platforms that implement SiP services must also |
| | validate SMC call arguments. |
+------------------------+------------------------------------------------------+
+------------------------+------------------------------------------------------+
| ID | 08 |
+========================+======================================================+
| Threat | | **Memory corruption due to memory overflows and |
| | lack of boundary checking when accessing resources |
| | could allow an attacker to execute arbitrary code, |
| | modify some state variable to change the normal |
| | flow of the program, or leak sensitive |
| | information** |
| | |
| | | Like in other software, TF-A has multiple points |
| | where memory corruption security errors can arise. |
| | |
| | | Some of the errors include integer overflow, |
| | buffer overflow, incorrect array boundary checks, |
| | and incorrect error management. |
| | Improper use of asserts instead of proper input |
| | validations might also result in these kinds of |
| | errors in release builds. |
+------------------------+------------------------------------------------------+
| Diagram Elements | DF4, DF5 |
+------------------------+------------------------------------------------------+
| Affected TF-A | BL1, BL2, BL31 |
| Components | |
+------------------------+------------------------------------------------------+
| Assets | Code Execution, Sensitive Data |
+------------------------+------------------------------------------------------+
| Threat Agent | NSCode, SecCode |
+------------------------+------------------------------------------------------+
| Threat Type | Tampering, Information Disclosure, |
| | Elevation of Privilege |
+------------------------+-------------------+-----------------+----------------+
| Application | Server | IoT | Mobile |
+------------------------+-------------------+-----------------+----------------+
| Impact | Critical (5) | Critical (5) | Critical (5) |
+------------------------+-------------------+-----------------+----------------+
| Likelihood | Medium (3 | Medium (3) | Medium (3) |
+------------------------+-------------------+-----------------+----------------+
| Total Risk Rating | High (15) | High (15) | High (15) |
+------------------------+-------------------+-----------------+----------------+
| Mitigations | | TF-A uses a combination of manual code reviews and |
| | automated program analysis and testing to detect |
| | and fix memory corruption bugs. All TF-A code |
| | including platform code go through manual code |
| | reviews. Additionally, static code analysis is |
| | performed using Coverity Scan on all TF-A code. |
| | The code is also tested with |
| | `Trusted Firmware-A Tests`_ on Juno and FVP |
| | platforms. |
| | |
| | | Data received from normal world, such as addresses |
| | and sizes identifying memory regions, are |
| | sanitized before being used. These security checks |
| | make sure that the normal world software does not |
| | access memory beyond its limit. |
| | |
| | | By default *asserts* are only used to check for |
| | programming errors in debug builds. Other types of |
| | errors are handled through condition checks that |
| | remain enabled in release builds. See |
| | `TF-A error handling policy`_. TF-A provides an |
| | option to use *asserts* in release builds, however |
| | we recommend using proper runtime checks instead |
| | of relying on asserts in release builds. |
+------------------------+------------------------------------------------------+
+------------------------+------------------------------------------------------+
| ID | 09 |
+========================+======================================================+
| Threat | | **Improperly handled SMC calls can leak register |
| | contents** |
| | |
| | | When switching between secure and non-secure |
| | states, register contents of Secure world or |
| | register contents of other normal world clients |
| | can be leaked. |
+------------------------+------------------------------------------------------+
| Diagram Elements | DF5 |
+------------------------+------------------------------------------------------+
| Affected TF-A | BL31 |
| Components | |
+------------------------+------------------------------------------------------+
| Assets | Sensitive Data |
+------------------------+------------------------------------------------------+
| Threat Agent | NSCode |
+------------------------+------------------------------------------------------+
| Threat Type | Information Disclosure |
+------------------------+-------------------+----------------+-----------------+
| Application | Server | IoT | Mobile |
+------------------------+-------------------+----------------+-----------------+
| Impact | Medium (3) | Medium (3) | Medium (3) |
+------------------------+-------------------+----------------+-----------------+
| Likelihood | High (4) | High (4) | High (4) |
+------------------------+-------------------+----------------+-----------------+
| Total Risk Rating | High (12) | High (12) | High (12) |
+------------------------+-------------------+----------------+-----------------+
| Mitigations | | TF-A saves and restores registers |
| | by default when switching contexts. Build options |
| | are also provided to save/restore additional |
| | registers such as floating-point registers. |
+------------------------+------------------------------------------------------+
+------------------------+-----------------------------------------------------+
| ID | 10 |
+========================+=====================================================+
| Threat | | **SMC calls can leak sensitive information from |
| | TF-A memory via microarchitectural side channels**|
| | |
| | | Microarchitectural side-channel attacks such as |
| | `Spectre`_ can be used to leak data across |
| | security boundaries. An attacker might attempt to |
| | use this kind of attack to leak sensitive |
| | data from TF-A memory. |
+------------------------+-----------------------------------------------------+
| Diagram Elements | DF4, DF5 |
+------------------------+-----------------------------------------------------+
| Affected TF-A | BL31 |
| Components | |
+------------------------+-----------------------------------------------------+
| Assets | Sensitive Data |
+------------------------+-----------------------------------------------------+
| Threat Agent | SecCode, NSCode |
+------------------------+-----------------------------------------------------+
| Threat Type | Information Disclosure |
+------------------------+-------------------+----------------+----------------+
| Application | Server | IoT | Mobile |
+------------------------+-------------------+----------------+----------------+
| Impact | Medium (3) | Medium (3) | Medium (3) |
+------------------------+-------------------+----------------+----------------+
| Likelihood | Medium (3) | Medium (3) | Medium (3) |
+------------------------+-------------------+----------------+----------------+
| Total Risk Rating | Medium (9) | Medium (9) | Medium (9) |
+------------------------+-------------------+----------------+----------------+
| Mitigations | | TF-A implements software mitigations for Spectre |
| | type attacks as recommended by `Cache Speculation |
| | Side-channels`_ for the generic code. SiPs should |
| | implement similar mitigations for code that is |
| | deemed to be vulnerable to such attacks. |
+------------------------+-----------------------------------------------------+
+------------------------+----------------------------------------------------+
| ID | 11 |
+========================+====================================================+
| Threat | | **Misconfiguration of the Memory Management Unit |
| | (MMU) may allow a normal world software to |
| | access sensitive data or execute arbitrary |
| | code** |
| | |
| | | A misconfiguration of the MMU could |
| | lead to an open door for software running in the |
| | normal world to access sensitive data or even |
| | execute code if the proper security mechanisms |
| | are not in place. |
+------------------------+----------------------------------------------------+
| Diagram Elements | DF5, DF6 |
+------------------------+----------------------------------------------------+
| Affected TF-A | BL1, BL2, BL31 |
| Components | |
+------------------------+----------------------------------------------------+
| Assets | Sensitive Data, Code execution |
+------------------------+----------------------------------------------------+
| Threat Agent | NSCode |
+------------------------+----------------------------------------------------+
| Threat Type | Information Disclosure, Elevation of Privilege |
+------------------------+-----------------+-----------------+----------------+
| Application | Server | IoT | Mobile |
+------------------------+-----------------+-----------------+----------------+
| Impact | Critical (5) | Critical (5) | Critical (5) |
+------------------------+-----------------+-----------------+----------------+
| Likelihood | High (4) | High (4) | High (4) |
+------------------------+-----------------+-----------------+----------------+
| Total Risk Rating | Critical (20) | Critical (20) | Critical (20) |
+------------------------+-----------------+-----------------+----------------+
| Mitigations | | In TF-A, configuration of the MMU is done |
| | through a translation tables library. The |
| | library provides APIs to define memory regions |
| | and assign attributes including memory types and |
| | access permissions. Memory configurations are |
| | platform specific, therefore platforms need make |
| | sure the correct attributes are assigned to |
| | memory regions. When assigning access |
| | permissions, principle of least privilege ought |
| | to be enforced, i.e. we should not grant more |
| | privileges than strictly needed, e.g. code |
| | should be read-only executable, RO data should |
| | be read-only XN, and so on. |
+------------------------+----------------------------------------------------+
+------------------------+-----------------------------------------------------+
| ID | 12 |
+========================+=====================================================+
| Threat | | **Incorrect configuration of Performance Monitor |
| | Unit (PMU) counters can allow an attacker to |
| | mount side-channel attacks using information |
| | exposed by the counters** |
| | |
| | | Non-secure software can configure PMU registers |
| | to count events at any exception level and in |
| | both Secure and Non-secure states. This allows |
| | a Non-secure software (or a lower-level Secure |
| | software) to potentially carry out |
| | side-channel timing attacks against TF-A. |
+------------------------+-----------------------------------------------------+
| Diagram Elements | DF5, DF6 |
+------------------------+-----------------------------------------------------+
| Affected TF-A | BL31 |
| Components | |
+------------------------+-----------------------------------------------------+
| Assets | Sensitive Data |
+------------------------+-----------------------------------------------------+
| Threat Agent | NSCode |
+------------------------+-----------------------------------------------------+
| Threat Type | Information Disclosure |
+------------------------+-------------------+----------------+----------------+
| Impact | Medium (3) | Medium (3) | Medium (3) |
+------------------------+-------------------+----------------+----------------+
| Likelihood | Low (2) | Low (2) | Low (2) |
+------------------------+-------------------+----------------+----------------+
| Total Risk Rating | Medium (6) | Medium (6) | Medium (6) |
+------------------------+-------------------+----------------+----------------+
| Mitigations | | TF-A follows mitigation strategies as described |
| | in `Secure Development Guidelines`_. General |
| | events and cycle counting in the Secure world is |
| | prohibited by default when applicable. However, |
| | on some implementations (e.g. PMUv3) Secure world |
| | event counting depends on external debug interface|
| | signals, i.e. Secure world event counting is |
| | enabled if external debug is enabled. |
| | Configuration of debug signals is platform |
| | specific, therefore platforms need to make sure |
| | that external debug is disabled in production or |
| | proper debug authentication is in place. |
+------------------------+-----------------------------------------------------+
--------------
*Copyright (c) 2021-2022, Arm Limited. All rights reserved.*
.. _STRIDE threat analysis technique: https://docs.microsoft.com/en-us/azure/security/develop/threat-modeling-tool-threats#stride-model
.. _DEN0034: https://developer.arm.com/documentation/den0034/latest
.. _Cache Speculation Side-channels: https://developer.arm.com/support/arm-security-updates/speculative-processor-vulnerability
.. _Spectre: https://developer.arm.com/support/arm-security-updates/speculative-processor-vulnerability
.. _TBBR-Client specification: https://developer.arm.com/documentation/den0006/d/
.. _Trusted Board Boot (TBB): https://trustedfirmware-a.readthedocs.io/en/latest/design/trusted-board-boot.html
.. _TF-A error handling policy: https://trustedfirmware-a.readthedocs.io/en/latest/process/coding-guidelines.html#error-handling-and-robustness
.. _Secure Development Guidelines: https://trustedfirmware-a.readthedocs.io/en/latest/process/security-hardening.html#secure-development-guidelines
.. _Trusted Firmware-A Tests: https://git.trustedfirmware.org/TF-A/tf-a-tests.git/about/