CWE-787
Out-of-bounds Write
The product writes data past the end, or before the beginning, of the intended buffer.
CVE-2022-41283 (GCVE-0-2022-41283)
Vulnerability from cvelistv5 – Published: 2022-12-13 00:00 – Updated: 2025-04-21 13:44
VLAI
Summary
A vulnerability has been identified in JT2Go (All versions < V14.1.0.6), Teamcenter Visualization V13.2 (All versions < V13.2.0.12), Teamcenter Visualization V13.3 (All versions < V13.3.0.8), Teamcenter Visualization V14.0 (All versions < V14.0.0.4), Teamcenter Visualization V14.1 (All versions < V14.1.0.6). The CGM_NIST_Loader.dll contains an out of bounds write vulnerability when parsing a CGM file. An attacker can leverage this vulnerability to execute code in the context of the current process.
Severity
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
1 reference
Impacted products
5 products
| Vendor | Product | Version | |
|---|---|---|---|
| Siemens | JT2Go |
Affected:
All versions < V14.1.0.6
|
|
| Siemens | Teamcenter Visualization V13.2 |
Affected:
All versions < V13.2.0.12
|
|
| Siemens | Teamcenter Visualization V13.3 |
Affected:
All versions < V13.3.0.8
|
|
| Siemens | Teamcenter Visualization V14.0 |
Affected:
All versions < V14.0.0.4
|
|
| Siemens | Teamcenter Visualization V14.1 |
Affected:
All versions < V14.1.0.6
|
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CVE-2022-41660 (GCVE-0-2022-41660)
Vulnerability from cvelistv5 – Published: 2022-11-08 00:00 – Updated: 2025-04-21 13:47
VLAI
Summary
A vulnerability has been identified in JT2Go (All versions < V14.1.0.4), Teamcenter Visualization V13.2 (All versions < V13.2.0.12), Teamcenter Visualization V13.3 (All versions < V13.3.0.7), Teamcenter Visualization V14.0 (All versions < V14.0.0.3), Teamcenter Visualization V14.1 (All versions < V14.1.0.4). The affected products contain an out of bounds write vulnerability when parsing a CGM file. An attacker can leverage this vulnerability to execute code in the context of the current process.
Severity
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
1 reference
Impacted products
5 products
| Vendor | Product | Version | |
|---|---|---|---|
| Siemens | JT2Go |
Affected:
All versions < V14.1.0.4
|
|
| Siemens | Teamcenter Visualization V13.2 |
Affected:
All versions < V13.2.0.12
|
|
| Siemens | Teamcenter Visualization V13.3 |
Affected:
All versions < V13.3.0.7
|
|
| Siemens | Teamcenter Visualization V14.0 |
Affected:
All versions < V14.0.0.3
|
|
| Siemens | Teamcenter Visualization V14.1 |
Affected:
All versions < V14.1.0.4
|
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CVE-2022-41686 (GCVE-0-2022-41686)
Vulnerability from cvelistv5 – Published: 2022-10-14 14:40 – Updated: 2025-05-14 15:16
VLAI
Title
Out-of-bound memory read and write in /dev/mmz_userdev device driver. The impact depends on the privileges of the attacker. The unprivileged process run on the device could read out-of-bound memory leading sensitive to information disclosure. The proc ...
Summary
OpenHarmony-v3.1.2 and prior versions, 3.0.6 and prior versions have an Out-of-bound memory read and write vulnerability in /dev/mmz_userdev device driver. The impact depends on the privileges of the attacker. The unprivileged process run on the device could read out-of-bound memory leading sensitive to information disclosure. The processes with system user UID run on the device would be able to write out-of-bound memory which could lead to unspecified memory corruption.
Severity
5.1 (Medium)
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| OpenHarmony | OpenHarmony |
Affected:
OpenHarmony-v3.1.x-Release , ≤ 3.1.2
(custom)
Affected: OpenHarmony-v3.0.x-LTS , ≤ 3.0.6 (custom) |
Date Public
2022-10-11 00:00
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CVE-2022-41741 (GCVE-0-2022-41741)
Vulnerability from cvelistv5 – Published: 2022-10-19 21:20 – Updated: 2025-05-08 18:12
VLAI
Title
NGINX ngx_http_mp4_module vulnerability CVE-2022-41741
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 corrupt NGINX worker memory, resulting in its termination or potential other impact using a specially crafted audio or video file. The issue affects only NGINX products that are built with the 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
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://support.f5.com/csp/article/K81926432 | |
| 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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CVE-2022-41742 (GCVE-0-2022-41742)
Vulnerability from cvelistv5 – Published: 2022-10-19 21:20 – Updated: 2025-05-08 18:11
VLAI
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)
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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CVE-2022-41743 (GCVE-0-2022-41743)
Vulnerability from cvelistv5 – Published: 2022-10-19 21:21 – Updated: 2025-05-08 18:09
VLAI
Title
NGINX ngx_http_hls_module vulnerability CVE-2022-41743
Summary
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Severity
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-2022-41873 (GCVE-0-2022-41873)
Vulnerability from cvelistv5 – Published: 2022-11-11 00:00 – Updated: 2025-04-23 16:38
VLAI
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)
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| contiki-ng | contiki-ng |
Affected:
< 4.9
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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
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)
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-2022-41902 (GCVE-0-2022-41902)
Vulnerability from cvelistv5 – Published: 2022-12-06 00:00 – Updated: 2025-04-23 16:32
VLAI
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)
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
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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
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)
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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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.