CVE-2025-6271 (GCVE-0-2025-6271)

Vulnerability from cvelistv5 – Published: 2025-06-19 17:31 – Updated: 2025-06-23 19:30
VLAI
Title
swftools wav2swf wav.c wav_convert2mono out-of-bounds
Summary
A vulnerability, which was classified as problematic, was found in swftools up to 0.9.2. This affects the function wav_convert2mono in the library lib/wav.c of the component wav2swf. The manipulation leads to out-of-bounds read. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-23 16:17 UTC
CWE
References
Impacted products
Vendor Product Version CPE status
n/a swftools Affected: 0.9.0
Affected: 0.9.1
Affected: 0.9.2
Show details on NVD website

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      "dataVersion": "5.1"
    }
  }
}



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Tags
Taxonomy of the tags.


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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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Detection rules are retrieved from Rulezet.

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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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