CVE-2022-48303 (GCVE-0-2022-48303)
Vulnerability from cvelistv5 – Published: 2023-01-30 00:00 – Updated: 2025-03-27 20:35
VLAI
EPSS
VEX
Summary
GNU Tar through 1.34 has a one-byte out-of-bounds read that results in use of uninitialized memory for a conditional jump. Exploitation to change the flow of control has not been demonstrated. The issue occurs in from_header in list.c via a V7 archive in which mtime has approximately 11 whitespace characters.
Severity
5.5 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-27 20:34 UTC
CWE
- n/a
- CWE-125 - Out-of-bounds Read
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://savannah.gnu.org/bugs/?62387 | |
| https://savannah.gnu.org/patch/?10307 | |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisory |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisory |
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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.
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.
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