CVE-2013-7353 (GCVE-0-2013-7353)
Vulnerability from cvelistv5 – Published: 2014-05-06 14:00 – Updated: 2025-06-09 15:37
VLAI
EPSS
VEX
Summary
Integer overflow in the png_set_unknown_chunks function in libpng/pngset.c in libpng before 1.5.14beta08 allows context-dependent attackers to cause a denial of service (segmentation fault and crash) via a crafted image, which triggers a heap-based buffer overflow.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-09 15:37 UTC
Assigner
References
4 references
| URL | Tags |
|---|---|
| http://sourceforge.net/p/libpng/bugs/199/ | x_refsource_CONFIRM |
| http://lists.opensuse.org/opensuse-updates/2014-0… | vendor-advisoryx_refsource_SUSE |
| http://www.securityfocus.com/bid/67345 | vdb-entryx_refsource_BID |
| http://seclists.org/oss-sec/2014/q2/83 | mailing-listx_refsource_MLIST |
Date Public
2013-01-08 00:00
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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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