CWE-787
Out-of-bounds Write
The product writes data past the end, or before the beginning, of the intended buffer.
CVE-2020-14386 (GCVE-0-2020-14386)
Vulnerability from cvelistv5 – Published: 2020-09-16 12:48 – Updated: 2024-08-04 12:46
VLAI
Summary
A flaw was found in the Linux kernel before 5.9-rc4. Memory corruption can be exploited to gain root privileges from unprivileged processes. The highest threat from this vulnerability is to data confidentiality and integrity.
Severity
6.7 (Medium)
Assigner
References
12 references
| URL | Tags |
|---|---|
| https://seclists.org/oss-sec/2020/q3/146 | x_refsource_MISC |
| https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2… | x_refsource_CONFIRM |
| https://git.kernel.org/pub/scm/linux/kernel/git/t… | x_refsource_MISC |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://lists.debian.org/debian-lts-announce/2020… | mailing-listx_refsource_MLIST |
| http://lists.opensuse.org/opensuse-security-annou… | vendor-advisoryx_refsource_SUSE |
| http://packetstormsecurity.com/files/159565/Kerne… | x_refsource_MISC |
| https://lists.debian.org/debian-lts-announce/2020… | mailing-listx_refsource_MLIST |
| https://lists.debian.org/debian-lts-announce/2020… | mailing-listx_refsource_MLIST |
| http://www.openwall.com/lists/oss-security/2021/09/17/2 | mailing-listx_refsource_MLIST |
| http://www.openwall.com/lists/oss-security/2021/09/17/4 | mailing-listx_refsource_MLIST |
| http://www.openwall.com/lists/oss-security/2021/09/21/1 | mailing-listx_refsource_MLIST |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Linux Kernel | kernel |
Affected:
before 5.9-rc4
|
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CVE-2020-14390 (GCVE-0-2020-14390)
Vulnerability from cvelistv5 – Published: 2020-09-18 17:42 – Updated: 2024-08-04 12:46
VLAI
Summary
A flaw was found in the Linux kernel in versions before 5.9-rc6. When changing screen size, an out-of-bounds memory write can occur leading to memory corruption or a denial of service. Due to the nature of the flaw, privilege escalation cannot be fully ruled out.
Severity
No CVSS data available.
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=1876788 | x_refsource_MISC |
| http://lists.opensuse.org/opensuse-security-annou… | vendor-advisoryx_refsource_SUSE |
| http://lists.opensuse.org/opensuse-security-annou… | vendor-advisoryx_refsource_SUSE |
| https://lists.debian.org/debian-lts-announce/2020… | mailing-listx_refsource_MLIST |
| https://lists.debian.org/debian-lts-announce/2020… | mailing-listx_refsource_MLIST |
Impacted products
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CVE-2020-15208 (GCVE-0-2020-15208)
Vulnerability from cvelistv5 – Published: 2020-09-25 18:45 – Updated: 2024-08-04 13:08
VLAI
Title
Data corruption in tensorflow-lite
Summary
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity
7.4 (High)
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/releases… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/8… | x_refsource_MISC |
| http://lists.opensuse.org/opensuse-security-annou… | vendor-advisoryx_refsource_SUSE |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 1.15.4
Affected: >= 2.0.0, < 2.0.3 Affected: >= 2.1.0, < 2.1.2 Affected: >= 2.2.0, < 2.2.1 Affected: >= 2.3.0, < 2.3.1 |
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CVE-2020-15211 (GCVE-0-2020-15211)
Vulnerability from cvelistv5 – Published: 2020-09-25 18:45 – Updated: 2024-08-04 13:08
VLAI
Title
Out of bounds access in tensorflow-lite
Summary
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices for the tensors, indexing into an array of tensors that is owned by the subgraph. This results in a pattern of double array indexing when trying to get the data of each tensor. However, some operators can have some tensors be optional. To handle this scenario, the flatbuffer model uses a negative `-1` value as index for these tensors. This results in special casing during validation at model loading time. Unfortunately, this means that the `-1` index is a valid tensor index for any operator, including those that don't expect optional inputs and including for output tensors. Thus, this allows writing and reading from outside the bounds of heap allocated arrays, although only at a specific offset from the start of these arrays. This results in both read and write gadgets, albeit very limited in scope. The issue is patched in several commits (46d5b0852, 00302787b7, e11f5558, cd31fd0ce, 1970c21, and fff2c83), and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that only operators which accept optional inputs use the `-1` special value and only for the tensors that they expect to be optional. Since this allow-list type approach is erro-prone, we advise upgrading to the patched code.
Severity
4.8 (Medium)
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/releases… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/4… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/commit/0… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/commit/e… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/commit/c… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/commit/1… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/commit/f… | x_refsource_MISC |
| http://lists.opensuse.org/opensuse-security-annou… | vendor-advisoryx_refsource_SUSE |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 1.15.4
Affected: >= 2.0.0, < 2.0.3 Affected: >= 2.1.0, < 2.1.2 Affected: >= 2.2.0, < 2.2.1 Affected: >= 2.3.0, < 2.3.1 |
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CVE-2020-15212 (GCVE-0-2020-15212)
Vulnerability from cvelistv5 – Published: 2020-09-25 18:50 – Updated: 2024-08-04 13:08
VLAI
Title
Out of bounds access in tensorflow-lite
Summary
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `output_data` buffer. This might result in a segmentation fault but it can also be used to further corrupt the memory and can be chained with other vulnerabilities to create more advanced exploits. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that the segment ids are all positive, although this only handles the case when the segment ids are stored statically in the model. A similar validation could be done if the segment ids are generated at runtime between inference steps. If the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.
Severity
8.1 (High)
CWE
- CWE-787 - {"CWE-787":"Out-of-bounds Write"}
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/releases… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/commit/2… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.2.0, < 2.2.1
Affected: >= 2.3.0, < 2.3.1 |
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CVE-2020-15214 (GCVE-0-2020-15214)
Vulnerability from cvelistv5 – Published: 2020-09-25 18:50 – Updated: 2024-08-04 13:08
VLAI
Title
Out of bounds write in tensorflow-lite
Summary
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the dimensionality of output tensor. This results in allocating insufficient memory for the output tensor and in a write outside the bounds of the output array. This usually results in a segmentation fault, but depending on runtime conditions it can provide for a write gadget to be used in future memory corruption-based exploits. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that the segment ids are sorted, although this only handles the case when the segment ids are stored statically in the model. A similar validation could be done if the segment ids are generated at runtime between inference steps. If the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.
Severity
8.1 (High)
CWE
- CWE-787 - {"CWE-787":"Out-of-bounds Write"}
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/releases… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/2… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.2.0, < 2.2.1
Affected: >= 2.3.0, < 2.3.1 |
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CVE-2020-15629 (GCVE-0-2020-15629)
Vulnerability from cvelistv5 – Published: 2020-08-19 20:55 – Updated: 2024-08-04 13:22
VLAI
Summary
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Foxit Studio Photo 3.6.6.922. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the handling of TIF files. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated structure. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-10764.
Severity
7.8 (High)
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_refsource_MISC |
| https://www.foxitsoftware.com/support/security-bu… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Foxit | Studio Photo |
Affected:
3.6.6.922
|
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CVE-2020-15795 (GCVE-0-2020-15795)
Vulnerability from cvelistv5 – Published: 2021-04-22 20:42 – Updated: 2024-08-04 13:30
VLAI
Summary
A vulnerability has been identified in APOGEE PXC Compact (BACnet) (All versions < V3.5.5), APOGEE PXC Compact (P2 Ethernet) (All versions < V2.8.20), APOGEE PXC Modular (BACnet) (All versions < V3.5.5), APOGEE PXC Modular (P2 Ethernet) (All versions < V2.8.20), Nucleus NET (All versions < V5.2), Nucleus Source Code (Versions including affected DNS modules), TALON TC Compact (BACnet) (All versions < V3.5.5), TALON TC Modular (BACnet) (All versions < V3.5.5). The DNS domain name label parsing functionality does not properly validate the names in DNS-responses. The parsing of malformed responses could result in a write past the end of an allocated structure. An attacker with a privileged position in the network could leverage this vulnerability to execute code in the context of the current process or cause a denial-of-service condition.
Severity
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
Impacted products
8 products
| Vendor | Product | Version | |
|---|---|---|---|
| Siemens | APOGEE PXC Compact (BACnet) |
Affected:
All versions < V3.5.5
|
|
| Siemens | APOGEE PXC Compact (P2 Ethernet) |
Affected:
All versions < V2.8.20
|
|
| Siemens | APOGEE PXC Modular (BACnet) |
Affected:
All versions < V3.5.5
|
|
| Siemens | APOGEE PXC Modular (P2 Ethernet) |
Affected:
All versions < V2.8.20
|
|
| Siemens | Nucleus NET |
Affected:
All versions < V5.2
|
|
| Siemens | Nucleus Source Code |
Affected:
Versions including affected DNS modules
|
|
| Siemens | TALON TC Compact (BACnet) |
Affected:
All versions < V3.5.5
|
|
| Siemens | TALON TC Modular (BACnet) |
Affected:
All versions < V3.5.5
|
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CVE-2020-16213 (GCVE-0-2020-16213)
Vulnerability from cvelistv5 – Published: 2020-08-06 18:20 – Updated: 2024-08-04 13:37
VLAI
Summary
Advantech WebAccess HMI Designer, Versions 2.1.9.31 and prior. Processing specially crafted project files lacking proper validation of user supplied data may cause the system to write outside the intended buffer area, which may allow remote code execution, disclosure/modification of information, or cause the application to crash.
Severity
No CVSS data available.
CWE
- CWE-787 - OUT-OF-BOUNDS WRITE CWE-787
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://us-cert.cisa.gov/ics/advisories/icsa-20-219-02 | x_refsource_MISC |
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | Advantech WebAccess HMI Designer |
Affected:
Versions 2.1.9.31 and prior
|
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CVE-2020-17403 (GCVE-0-2020-17403)
Vulnerability from cvelistv5 – Published: 2020-08-25 20:25 – Updated: 2024-08-04 13:53
VLAI
Summary
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Foxit Studio Photo 3.6.6.922. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the handling of PSD files. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated structure. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-11003.
Severity
7.8 (High)
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.foxitsoftware.com/support/security-bu… | x_refsource_MISC |
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Foxit | Studio Photo |
Affected:
3.6.6.922
|
Credits
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"assignerShortName": "zdi",
"cveId": "CVE-2020-17403",
"datePublished": "2020-08-25T20:25:15.000Z",
"dateReserved": "2020-08-07T00:00:00.000Z",
"dateUpdated": "2024-08-04T13:53:16.760Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
Mitigation ID: MIT-3
Phase: Requirements
Strategy: Language Selection
Description:
- Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
- For example, many languages that perform their own memory management, such as Java and Perl, are not subject to buffer overflows. Other languages, such as Ada and C#, typically provide overflow protection, but the protection can be disabled by the programmer.
- Be wary that a language's interface to native code may still be subject to overflows, even if the language itself is theoretically safe.
Mitigation ID: MIT-4.1
Phase: Architecture and Design
Strategy: Libraries or Frameworks
Description:
- Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
- Examples include the Safe C String Library (SafeStr) by Messier and Viega [REF-57], and the Strsafe.h library from Microsoft [REF-56]. These libraries provide safer versions of overflow-prone string-handling functions.
Mitigation ID: MIT-10
Phases: Operation, Build and Compilation
Strategy: Environment Hardening
Description:
- Use automatic buffer overflow detection mechanisms that are offered by certain compilers or compiler extensions. Examples include: the Microsoft Visual Studio /GS flag, Fedora/Red Hat FORTIFY_SOURCE GCC flag, StackGuard, and ProPolice, which provide various mechanisms including canary-based detection and range/index checking.
- D3-SFCV (Stack Frame Canary Validation) from D3FEND [REF-1334] discusses canary-based detection in detail.
Mitigation ID: MIT-9
Phase: Implementation
Description:
- Consider adhering to the following rules when allocating and managing an application's memory:
- Double check that the buffer is as large as specified.
- When using functions that accept a number of bytes to copy, such as strncpy(), be aware that if the destination buffer size is equal to the source buffer size, it may not NULL-terminate the string.
- Check buffer boundaries if accessing the buffer in a loop and make sure there is no danger of writing past the allocated space.
- If necessary, truncate all input strings to a reasonable length before passing them to the copy and concatenation functions.
Mitigation ID: MIT-11
Phases: Operation, Build and Compilation
Strategy: Environment Hardening
Description:
- Run or compile the software using features or extensions that randomly arrange the positions of a program's executable and libraries in memory. Because this makes the addresses unpredictable, it can prevent an attacker from reliably jumping to exploitable code.
- Examples include Address Space Layout Randomization (ASLR) [REF-58] [REF-60] and Position-Independent Executables (PIE) [REF-64]. Imported modules may be similarly realigned if their default memory addresses conflict with other modules, in a process known as "rebasing" (for Windows) and "prelinking" (for Linux) [REF-1332] using randomly generated addresses. ASLR for libraries cannot be used in conjunction with prelink since it would require relocating the libraries at run-time, defeating the whole purpose of prelinking.
- For more information on these techniques see D3-SAOR (Segment Address Offset Randomization) from D3FEND [REF-1335].
Mitigation ID: MIT-12
Phase: Operation
Strategy: Environment Hardening
Description:
- Use a CPU and operating system that offers Data Execution Protection (using hardware NX or XD bits) or the equivalent techniques that simulate this feature in software, such as PaX [REF-60] [REF-61]. These techniques ensure that any instruction executed is exclusively at a memory address that is part of the code segment.
- For more information on these techniques see D3-PSEP (Process Segment Execution Prevention) from D3FEND [REF-1336].
Mitigation ID: MIT-13
Phase: Implementation
Description:
- Replace unbounded copy functions with analogous functions that support length arguments, such as strcpy with strncpy. Create these if they are not available.
No CAPEC attack patterns related to this CWE.