CVE-2026-2245 (GCVE-0-2026-2245)
Vulnerability from cvelistv5 – Published: 2026-02-09 19:02 – Updated: 2026-02-23 10:00 X_Open Source
VLAI
EPSS
VEX
Title
CCExtractor MPEG-TS File ts_tables.c parse_PMT out-of-bounds
Summary
A vulnerability was identified in CCExtractor up to 183. This affects the function parse_PAT/parse_PMT in the library src/lib_ccx/ts_tables.c of the component MPEG-TS File Parser. Such manipulation leads to out-of-bounds read. The attack can only be performed from a local environment. The exploit is publicly available and might be used. The name of the patch is fd7271bae238ccb3ae8a71304ea64f0886324925. It is best practice to apply a patch to resolve this issue.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-10 20:03 UTC
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.344991 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.344991 | signaturepermissions-required |
| https://vuldb.com/?submit.753159 | third-party-advisory |
| https://vuldb.com/?submit.753160 | third-party-advisory |
| https://github.com/CCExtractor/ccextractor/issues/2053 | issue-tracking |
| https://github.com/CCExtractor/ccextractor/pull/2057 | issue-tracking |
| https://github.com/oneafter/0123/blob/main/cc1/repro | exploit |
| https://github.com/CCExtractor/ccextractor/commit… | patch |
| https://github.com/CCExtractor/ccextractor/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | CCExtractor |
Affected:
183
|
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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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