CVE-2022-31031 (GCVE-0-2022-31031)
Vulnerability from cvelistv5 – Published: 2022-06-07 00:00 – Updated: 2025-11-04 16:09
VLAI
EPSS
VEX
Title
Potential stack buffer overflow when parsing message as a STUN client
Summary
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.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 15:49 UTC
CWE
- CWE-120 - Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')
Assigner
References
7 references
Impacted products
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}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
{
"lang": "en",
"value": "CWE-120"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2026-01-13T21:59:45+00:00",
"cve": "CVE-2022-31031",
"id": "CVE-2022-31031",
"initial_release_date": "2022-06-09T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "pjsip: stack buffer overflow",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-31031.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2025-11-04T16:09:46.351Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
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"tags": [
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],
"url": "https://github.com/pjsip/pjproject/security/advisories/GHSA-26j7-ww69-c4qj"
},
{
"tags": [
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"url": "https://github.com/pjsip/pjproject/commit/450baca94f475345542c6953832650c390889202"
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{
"name": "GLSA-202210-37",
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"url": "https://security.gentoo.org/glsa/202210-37"
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{
"name": "[debian-lts-announce] 20230222 [SECURITY] [DLA 3335-1] asterisk security update",
"tags": [
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"url": "https://lists.debian.org/debian-lts-announce/2023/02/msg00029.html"
},
{
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"url": "https://www.debian.org/security/2023/dsa-5358"
},
{
"name": "[debian-lts-announce] 20230829 [SECURITY] [DLA 3549-1] ring security update",
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},
{
"url": "https://lists.debian.org/debian-lts-announce/2024/09/msg00030.html"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
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"other": {
"content": {
"id": "CVE-2022-31031",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-23T15:49:22.770361Z",
"version": "2.0.3"
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"providerMetadata": {
"dateUpdated": "2025-04-23T15:49:24.970Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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},
"title": "CISA ADP Vulnrichment"
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],
"cna": {
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"vendor": "pjsip",
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"status": "affected",
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}
],
"metrics": [
{
"cvssV3_1": {
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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{
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{
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"tags": [
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},
{
"name": "DSA-5358",
"tags": [
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],
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},
{
"name": "[debian-lts-announce] 20230829 [SECURITY] [DLA 3549-1] ring security update",
"tags": [
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],
"source": {
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"discovery": "UNKNOWN"
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"title": "Potential stack buffer overflow when parsing message as a STUN client"
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},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
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"datePublished": "2022-06-07T00:00:00.000Z",
"dateReserved": "2022-05-18T00:00:00.000Z",
"dateUpdated": "2025-11-04T16:09:46.351Z",
"state": "PUBLISHED"
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"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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