GSD-2017-16872
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
An issue was discovered in Teluu pjproject (pjlib and pjlib-util) in PJSIP before 2.7.1. Parsing the numeric header fields in a SIP message (like cseq, ttl, port, etc.) all had the potential to overflow, either causing unintended values to be captured or, if the values were subsequently converted back to strings, a buffer overrun. This will lead to a potential exploit using carefully crafted invalid values.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-16872",
"description": "An issue was discovered in Teluu pjproject (pjlib and pjlib-util) in PJSIP before 2.7.1. Parsing the numeric header fields in a SIP message (like cseq, ttl, port, etc.) all had the potential to overflow, either causing unintended values to be captured or, if the values were subsequently converted back to strings, a buffer overrun. This will lead to a potential exploit using carefully crafted invalid values.",
"id": "GSD-2017-16872",
"references": [
"https://www.debian.org/security/2018/dsa-4170"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2017-16872"
],
"details": "An issue was discovered in Teluu pjproject (pjlib and pjlib-util) in PJSIP before 2.7.1. Parsing the numeric header fields in a SIP message (like cseq, ttl, port, etc.) all had the potential to overflow, either causing unintended values to be captured or, if the values were subsequently converted back to strings, a buffer overrun. This will lead to a potential exploit using carefully crafted invalid values.",
"id": "GSD-2017-16872",
"modified": "2023-12-13T01:21:00.893435Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2017-16872",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
]
}
}
]
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}
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"value": "An issue was discovered in Teluu pjproject (pjlib and pjlib-util) in PJSIP before 2.7.1. Parsing the numeric header fields in a SIP message (like cseq, ttl, port, etc.) all had the potential to overflow, either causing unintended values to be captured or, if the values were subsequently converted back to strings, a buffer overrun. This will lead to a potential exploit using carefully crafted invalid values."
}
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},
"references": {
"reference_data": [
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"name": "https://trac.pjsip.org/repos/milestone/release-2.7.1",
"refsource": "CONFIRM",
"url": "https://trac.pjsip.org/repos/milestone/release-2.7.1"
},
{
"name": "DSA-4170",
"refsource": "DEBIAN",
"url": "https://www.debian.org/security/2018/dsa-4170"
},
{
"name": "https://trac.pjsip.org/repos/ticket/2056",
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"url": "https://trac.pjsip.org/repos/ticket/2056"
}
]
}
},
"nvd.nist.gov": {
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"nodes": [
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"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:teluu:pjsip:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "2.7.1",
"vulnerable": true
}
],
"operator": "OR"
},
{
"children": [],
"cpe_match": [
{
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"description": {
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"value": "An issue was discovered in Teluu pjproject (pjlib and pjlib-util) in PJSIP before 2.7.1. Parsing the numeric header fields in a SIP message (like cseq, ttl, port, etc.) all had the potential to overflow, either causing unintended values to be captured or, if the values were subsequently converted back to strings, a buffer overrun. This will lead to a potential exploit using carefully crafted invalid values."
}
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},
{
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{
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"tags": [
"Third Party Advisory"
],
"url": "https://www.debian.org/security/2018/dsa-4170"
}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": true,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9
}
},
"lastModifiedDate": "2021-09-02T14:49Z",
"publishedDate": "2017-11-17T09:29Z"
}
}
}
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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
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Nomenclature
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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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