CVE-2026-4985 (GCVE-0-2026-4985)
Vulnerability from cvelistv5 – Published: 2026-03-27 21:27 – Updated: 2026-03-30 15:48 X_Open Source
VLAI
EPSS
VEX
Title
dloebl CGIF GIF Image cgif.c cgif_addframe integer overflow
Summary
A vulnerability was identified in dloebl CGIF up to 0.5.2. This vulnerability affects the function cgif_addframe of the file src/cgif.c of the component GIF Image Handler. The manipulation of the argument width/height leads to integer overflow. The attack may be initiated remotely. The identifier of the patch is b0ba830093f4317a5d1f345715d2fa3cd2dab474. It is suggested to install a patch to address this issue.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-30 15:48 UTC
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.353874 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.353874 | signaturepermissions-required |
| https://vuldb.com/?submit.778278 | third-party-advisory |
| https://github.com/dloebl/cgif/issues/110 | issue-tracking |
| https://github.com/dloebl/cgif/pull/112 | issue-trackingpatch |
| https://github.com/dloebl/cgif/commit/b0ba830093f… | patch |
| https://github.com/dloebl/cgif/ | product |
Impacted products
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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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