Common Weakness Enumeration
CWE-787
Allowed-with-ReviewOut-of-bounds Write
Abstraction: Base · Status: Draft
The product writes data past the end, or before the beginning, of the intended buffer.
15198 vulnerabilities reference this CWE, most recent first.
CVE-2022-42281 (GCVE-0-2022-42281)
Vulnerability from cvelistv5 – Published: 2023-01-13 01:37 – Updated: 2025-04-07 18:47
VLAI
EPSS
VEX
Summary
NVIDIA DGX A100 contains a vulnerability in SBIOS in the FsRecovery, which may allow a highly privileged local attacker to cause an out-of-bounds write, which may lead to code execution, denial of service, compromised integrity, and information disclosure.
Severity
6.7 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NVIDIA | NVIDIA DGX servers |
Affected:
All SBIOS firmware versions prior to 1.18
|
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CVE-2022-42262 (GCVE-0-2022-42262)
Vulnerability from cvelistv5 – Published: 2022-12-30 00:00 – Updated: 2025-04-11 15:14
VLAI
EPSS
VEX
Summary
NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager (vGPU plugin), where an input index is not validated, which may lead to buffer overrun, which in turn may cause data tampering, information disclosure, or denial of service.
Severity
7.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NVIDIA | vGPU software (Virtual GPU Manager), NVIDIA Cloud Gaming (Virtual GPU Manager) |
Affected:
All versions prior to and including 14.2, 13.4, and 11.9, and all versions prior to the November 2022 release
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CVE-2022-42255 (GCVE-0-2022-42255)
Vulnerability from cvelistv5 – Published: 2022-12-30 00:00 – Updated: 2025-04-23 16:24
VLAI
EPSS
VEX
Summary
NVIDIA GPU Display Driver for Linux contains a vulnerability in the kernel mode layer (nvidia.ko), where an out-of-bounds array access may lead to denial of service, information disclosure, or data tampering.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://nvidia.custhelp.com/app/answers/detail/a_… | |
| https://security.gentoo.org/glsa/202310-02 | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NVIDIA | vGPU software (guest driver) - Linux, vGPU software (Virtual GPU Manager), NVIDIA Cloud Gaming (guest driver), NVIDIA Cloud Gaming (Virtual GPU Manager) |
Affected:
All versions prior to and including 14.2, 13.4, and 11.9, and all versions prior to the November 2022 release
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CVE-2022-41992 (GCVE-0-2022-41992)
Vulnerability from cvelistv5 – Published: 2022-12-19 10:00 – Updated: 2025-04-15 18:38
VLAI
EPSS
VEX
Summary
A memory corruption vulnerability exists in the VHD File Format parsing CXSPARSE record functionality of PowerISO PowerISO 8.3. A specially-crafted file can lead to an out-of-bounds write. A victim needs to open a malicious file to trigger this vulnerability.
Severity
7.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
1 reference
Date Public
2022-12-07 00:00
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CVE-2022-41989 (GCVE-0-2022-41989)
Vulnerability from cvelistv5 – Published: 2023-01-18 00:30 – Updated: 2025-01-16 22:00
VLAI
EPSS
VEX
Title
CVE-2022-41989
Summary
Sewio’s Real-Time Location System (RTLS) Studio version 2.0.0 up to and including version 2.6.2 does not validate the length of RTLS report payloads during communication. This allows an attacker to send an exceedingly long payload, resulting in an out-of-bounds write to cause a denial-of-service condition or code execution.
Severity
9 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Sewio | RTLS Studio |
Affected:
2.0.0 , ≤ 2.6.2
(custom)
|
Date Public
2023-01-12 20:46
Credits
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CVE-2022-41902 (GCVE-0-2022-41902)
Vulnerability from cvelistv5 – Published: 2022-12-06 00:00 – Updated: 2025-04-23 16:32
VLAI
EPSS
VEX
Title
Out of bounds write in grappler in Tensorflow
Summary
TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.
Severity
7.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.10.0, < 2.10.1
Affected: >= 2.9.0, < 2.9.3 Affected: < 2.8.4 |
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CVE-2022-41900 (GCVE-0-2022-41900)
Vulnerability from cvelistv5 – Published: 2022-11-18 00:00 – Updated: 2025-04-22 16:03
VLAI
EPSS
VEX
Title
FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow
Summary
TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.
Severity
7.1 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.10.0, < 2.10.1
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CVE-2022-41873 (GCVE-0-2022-41873)
Vulnerability from cvelistv5 – Published: 2022-11-11 00:00 – Updated: 2025-04-23 16:38
VLAI
EPSS
VEX
Title
Out-of-bounds read and write in BLE L2CAP module
Summary
Contiki-NG is an open-source, cross-platform operating system for Next-Generation IoT devices. Versions prior to 4.9 are vulnerable to an Out-of-bounds read. While processing the L2CAP protocol, the Bluetooth Low Energy stack of Contiki-NG needs to map an incoming channel ID to its metadata structure. While looking up the corresponding channel structure in get_channel_for_cid (in os/net/mac/ble/ble-l2cap.c), a bounds check is performed on the incoming channel ID, which is meant to ensure that the channel ID does not exceed the maximum number of supported channels.However, an integer truncation issue leads to only the lowest byte of the channel ID to be checked, which leads to an incomplete out-of-bounds check. A crafted channel ID leads to out-of-bounds memory to be read and written with attacker-controlled data. The vulnerability has been patched in the "develop" branch of Contiki-NG, and will be included in release 4.9. As a workaround, Users can apply the patch in Contiki-NG pull request 2081 on GitHub.
Severity
4.2 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| contiki-ng | contiki-ng |
Affected:
< 4.9
|
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CVE-2022-41743 (GCVE-0-2022-41743)
Vulnerability from cvelistv5 – Published: 2022-10-19 21:21 – Updated: 2025-05-08 18:09
VLAI
EPSS
VEX
Title
NGINX ngx_http_hls_module vulnerability CVE-2022-41743
Summary
NGINX Plus before versions R27 P1 and R26 P1 have a vulnerability in the module ngx_http_hls_module that might allow a local attacker to corrupt NGINX worker memory, resulting in its crash or potential other impact using a specially crafted audio or video file. The issue affects only NGINX Plus when the hls directive is used in the configuration file. Further, the attack is possible only if an attacker can trigger processing of a specially crafted audio or video file with the module ngx_http_hls_module.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| F5 | NGINX Plus |
Affected:
R27 , < R27-p1
(custom)
Affected: R1 , < R26-p1 (custom) |
Date Public
2022-10-19 00:00
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CVE-2022-41742 (GCVE-0-2022-41742)
Vulnerability from cvelistv5 – Published: 2022-10-19 21:20 – Updated: 2025-05-08 18:11
VLAI
EPSS
VEX
Title
NGINX ngx_http_mp4_module vulnerability CVE-2022-41742
Summary
NGINX Open Source before versions 1.23.2 and 1.22.1, NGINX Open Source Subscription before versions R2 P1 and R1 P1, and NGINX Plus before versions R27 P1 and R26 P1 have a vulnerability in the module ngx_http_mp4_module that might allow a local attacker to cause a worker process crash, or might result in worker process memory disclosure by using a specially crafted audio or video file. The issue affects only NGINX products that are built with the module ngx_http_mp4_module, when the mp4 directive is used in the configuration file. Further, the attack is possible only if an attacker can trigger processing of a specially crafted audio or video file with the module ngx_http_mp4_module.
Severity
7.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://support.f5.com/csp/article/K28112382 | |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisory |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisory |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisory |
| https://www.debian.org/security/2022/dsa-5281 | vendor-advisory |
| https://lists.debian.org/debian-lts-announce/2022… | mailing-list |
| https://security.netapp.com/advisory/ntap-2023012… |
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| F5 | NGINX |
Affected:
Mainline , < 1.23.2
(custom)
Affected: Stable , < 1.22.1 (custom) |
|
| F5 | NGINX Plus |
Affected:
R27 , < R27-p1
(custom)
Affected: R1 , < R26-p1 (custom) |
|
| F5 | NGINX Open Source Subscription |
Affected:
R2 , < R2 P1
(custom)
Affected: R1 , < R1 P1 (custom) |
Date Public
2022-10-19 00:00
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Mitigation MIT-3
Requirements
Strategy: Language Selection
- 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 MIT-4.1
Architecture and Design
Strategy: Libraries or Frameworks
- 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 MIT-10
Operation
Build and Compilation
Strategy: Environment Hardening
- 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 MIT-9
Implementation
- 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 MIT-11
Operation
Build and Compilation
Strategy: Environment Hardening
- 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 MIT-12
Operation
Strategy: Environment Hardening
- 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 MIT-13
Implementation
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.