GSD-2022-31031
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. In versions prior to and including 2.12.1 a stack buffer overflow vulnerability affects PJSIP users that use STUN in their applications, either by: setting a STUN server in their account/media config in PJSUA/PJSUA2 level, or directly using `pjlib-util/stun_simple` API. A patch is available in commit 450baca which should be included in the next release. There are no known workarounds for this issue.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-31031",
"description": "PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. In versions prior to and including 2.12.1 a stack buffer overflow vulnerability affects PJSIP users that use STUN in their applications, either by: setting a STUN server in their account/media config in PJSUA/PJSUA2 level, or directly using `pjlib-util/stun_simple` API. A patch is available in commit 450baca which should be included in the next release. There are no known workarounds for this issue.",
"id": "GSD-2022-31031",
"references": [
"https://www.debian.org/security/2023/dsa-5358"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. In versions prior to and including 2.12.1 a stack buffer overflow vulnerability affects PJSIP users that use STUN in their applications, either by: setting a STUN server in their account/media config in PJSUA/PJSUA2 level, or directly using `pjlib-util/stun_simple` API. A patch is available in commit 450baca which should be included in the next release. There are no known workarounds for this issue.",
"id": "GSD-2022-31031",
"modified": "2023-12-13T01:19:17.754524Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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"lastModifiedDate": "2023-08-30T01:15Z",
"publishedDate": "2022-06-09T16:15Z"
}
}
}
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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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