CVE-2025-0395 (GCVE-0-2025-0395)
Vulnerability from cvelistv5 – Published: 2025-01-22 13:11 – Updated: 2026-05-12 12:02
VLAI
EPSS
VEX
Summary
When the assert() function in the GNU C Library versions 2.13 to 2.40 fails, it does not allocate enough space for the assertion failure message string and size information, which may lead to a buffer overflow if the message string size aligns to page size.
Severity
6.2 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-04 20:45 UTC
CWE
- CWE-131 - Incorrect Calculation of Buffer Size
Assigner
References
12 references
Impacted products
15 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| The GNU C Library | glibc |
Affected:
2.13 , ≤ 2.40
(custom)
|
guessed | |
| Siemens | RUGGEDCOM ROX MX5000 |
Affected:
0 , < V2.17.1
(custom)
|
guessed | |
| Siemens | RUGGEDCOM ROX MX5000RE |
Affected:
0 , < V2.17.1
(custom)
|
guessed | |
| Siemens | RUGGEDCOM ROX RX1400 |
Affected:
0 , < V2.17.1
(custom)
|
guessed | |
| Siemens | RUGGEDCOM ROX RX1500 |
Affected:
0 , < V2.17.1
(custom)
|
guessed | |
| Siemens | RUGGEDCOM ROX RX1501 |
Affected:
0 , < V2.17.1
(custom)
|
guessed | |
| Siemens | RUGGEDCOM ROX RX1510 |
Affected:
0 , < V2.17.1
(custom)
|
guessed | |
| Siemens | RUGGEDCOM ROX RX1511 |
Affected:
0 , < V2.17.1
(custom)
|
guessed | |
| Siemens | RUGGEDCOM ROX RX1512 |
Affected:
0 , < V2.17.1
(custom)
|
guessed | |
| Siemens | RUGGEDCOM ROX RX1524 |
Affected:
0 , < V2.17.1
(custom)
|
guessed | |
| Siemens | RUGGEDCOM ROX RX1536 |
Affected:
0 , < V2.17.1
(custom)
|
guessed | |
| Siemens | RUGGEDCOM ROX RX5000 |
Affected:
0 , < V2.17.1
(custom)
|
guessed | |
| Siemens | SIMATIC S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.0 , < V3.1.5
(custom)
|
guessed | |
| Siemens | SIMATIC S7-1500 CPU 1518F-4 PN/DP MFP |
Affected:
V3.1.0 , < V3.1.5
(custom)
|
guessed | |
| Siemens | SIPLUS S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.0 , < V3.1.5
(custom)
|
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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