Common Weakness Enumeration

CWE-125

Out-of-bounds Read

The product reads data past the end, or before the beginning, of the intended buffer.

CVE-2023-25176 (GCVE-0-2023-25176)

Vulnerability from cvelistv5 – Published: 2024-03-04 06:18 – Updated: 2024-08-02 11:18
VLAI
Title
Pasteboard has an out-of-bounds read vulnerability
Summary
in OpenHarmony v3.2.4 and prior versions allow a local attacker cause information leak through out-of-bounds Read.
Severity
2.9 (Low)
CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
OpenHarmony OpenHarmony Affected: v3.2.0 , ≤ v3.2.4 (custom)
Create a notification for this product.
Show details on NVD website
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CVE-2023-25494 (GCVE-0-2023-25494)

Vulnerability from cvelistv5 – Published: 2024-04-05 20:46 – Updated: 2024-08-02 11:25
VLAI
Summary
A potential vulnerability were reported in the BIOS of some Desktop, Smart Edge, and ThinkStation products that could allow a local attacker with elevated privileges to write to NVRAM variables.
Severity
6.7 (Medium)
CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Credits
Lenovo thanks Souhardya Sardar of Cyberstanc for reporting this issue.
Show details on NVD website
To clipboard 

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CVE-2023-25512 (GCVE-0-2023-25512)

Vulnerability from cvelistv5 – Published: 2023-04-22 02:35 – Updated: 2025-02-04 17:41
VLAI
Summary
NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in cuobjdump, where an attacker may cause an out-of-bounds memory read by running cuobjdump on a malformed input file. A successful exploit of this vulnerability may lead to limited denial of service, code execution, and limited information disclosure.
Severity
5.3 (Medium)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
NVIDIA NVIDIA CUDA Toolkit Affected: All versions prior to 12.1
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2023-25513 (GCVE-0-2023-25513)

Vulnerability from cvelistv5 – Published: 2023-04-22 02:35 – Updated: 2025-02-04 17:40
VLAI
Summary
NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in cuobjdump, where an attacker may cause an out-of-bounds read by tricking a user into running cuobjdump on a malformed input file. A successful exploit of this vulnerability may lead to limited denial of service, code execution, and limited information disclosure.
Severity
5.3 (Medium)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
NVIDIA NVIDIA CUDA Toolkit Affected: All versions prior to 12.0 Update 1
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2023-25514 (GCVE-0-2023-25514)

Vulnerability from cvelistv5 – Published: 2023-04-22 02:36 – Updated: 2025-02-04 16:34
VLAI
Summary
NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in cuobjdump, where an attacker may cause an out-of-bounds read by tricking a user into running cuobjdump on a malformed input file. A successful exploit of this vulnerability may lead to limited denial of service, code execution, and limited information disclosure.
Severity
5.3 (Medium)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L
6.3 (Medium)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:L
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
NVIDIA NVIDIA CUDA Toolkit Affected: All versions prior to 12.1 Update 1
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2023-25546 (GCVE-0-2023-25546)

Vulnerability from cvelistv5 – Published: 2024-09-16 16:38 – Updated: 2025-11-03 21:47
VLAI
Summary
Out-of-bounds read in UEFI firmware for some Intel(R) Processors may allow a privileged user to potentially enable denial of service via local access.
Severity
2.5 (Low)
CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:C/C:N/I:N/A:L
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • denial of service
  • CWE-125 - Out-of-bounds read
Assigner
References
Impacted products
Vendor Product Version
n/a UEFI firmware for some Intel(R) Processors Affected: See references
Show details on NVD website
To clipboard 

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CVE-2023-25563 (GCVE-0-2023-25563)

Vulnerability from cvelistv5 – Published: 2023-02-14 17:35 – Updated: 2025-03-10 21:12
VLAI
Title
GSS-NTLMSSP vulnerable to multiple out-of-bounds reads when decoding NTLM fields
Summary
GSS-NTLMSSP is a mechglue plugin for the GSSAPI library that implements NTLM authentication. Prior to version 1.2.0, multiple out-of-bounds reads when decoding NTLM fields can trigger a denial of service. A 32-bit integer overflow condition can lead to incorrect checks of consistency of length of internal buffers. Although most applications will error out before accepting a singe input buffer of 4GB in length this could theoretically happen. This vulnerability can be triggered via the main `gss_accept_sec_context` entry point if the application allows tokens greater than 4GB in length. This can lead to a large, up to 65KB, out-of-bounds read which could cause a denial-of-service if it reads from unmapped memory. Version 1.2.0 contains a patch for the out-of-bounds reads.
Severity
5.9 (Medium)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
gssapi gss-ntlmssp Affected: < 1.2.0
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2023-25567 (GCVE-0-2023-25567)

Vulnerability from cvelistv5 – Published: 2023-02-14 17:35 – Updated: 2025-03-10 21:11
VLAI
Title
GSS-NTLMSSP vulnerable to out-of-bounds read when decoding target information
Summary
GSS-NTLMSSP, a mechglue plugin for the GSSAPI library that implements NTLM authentication, has an out-of-bounds read when decoding target information prior to version 1.2.0. The length of the `av_pair` is not checked properly for two of the elements which can trigger an out-of-bound read. The out-of-bounds read can be triggered via the main `gss_accept_sec_context` entry point and could cause a denial-of-service if the memory is unmapped. The issue is fixed in version 1.2.0.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
gssapi gss-ntlmssp Affected: < 1.2.0
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2023-25584 (GCVE-0-2023-25584)

Vulnerability from cvelistv5 – Published: 2023-09-14 20:50 – Updated: 2025-02-13 16:44
VLAI
Title
Out of bounds read in parse_module function in bfd/vms-alpha.c
Summary
An out-of-bounds read flaw was found in the parse_module function in bfd/vms-alpha.c in Binutils.
Severity
6.3 (Medium)
CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Date Public
2022-12-12 00:00
Show details on NVD website
To clipboard 

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CVE-2023-25658 (GCVE-0-2023-25658)

Vulnerability from cvelistv5 – Published: 2023-03-24 23:42 – Updated: 2025-02-19 20:13
VLAI
Title
TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad
Summary
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, an out of bounds read is in GRUBlockCellGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
tensorflow tensorflow Affected: < 2.11.1
Create a notification for this product.
Show details on NVD website
To clipboard 

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Mitigation ID: MIT-5

Phase: Implementation

Strategy: Input Validation

Description:

  • Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
  • When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
  • Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
  • To reduce the likelihood of introducing an out-of-bounds read, ensure that you validate and ensure correct calculations for any length argument, buffer size calculation, or offset. Be especially careful of relying on a sentinel (i.e. special character such as NUL) in untrusted inputs.
Mitigation

Phase: Architecture and Design

Strategy: Language Selection

Description:

  • Use a language that provides appropriate memory abstractions.
CAPEC-540: Overread Buffers

An adversary attacks a target by providing input that causes an application to read beyond the boundary of a defined buffer. This typically occurs when a value influencing where to start or stop reading is set to reflect positions outside of the valid memory location of the buffer. This type of attack may result in exposure of sensitive information, a system crash, or arbitrary code execution.

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