GSD-2017-2625
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
It was discovered that libXdmcp before 1.1.2 including used weak entropy to generate session keys. On a multi-user system using xdmcp, a local attacker could potentially use information available from the process list to brute force the key, allowing them to hijack other users' sessions.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-2625",
"description": "It was discovered that libXdmcp before 1.1.2 including used weak entropy to generate session keys. On a multi-user system using xdmcp, a local attacker could potentially use information available from the process list to brute force the key, allowing them to hijack other users\u0027 sessions.",
"id": "GSD-2017-2625",
"references": [
"https://www.suse.com/security/cve/CVE-2017-2625.html",
"https://access.redhat.com/errata/RHSA-2017:1865",
"https://advisories.mageia.org/CVE-2017-2625.html",
"https://linux.oracle.com/cve/CVE-2017-2625.html",
"https://packetstormsecurity.com/files/cve/CVE-2017-2625",
"https://ubuntu.com/security/CVE-2017-2625"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2017-2625"
],
"details": "It was discovered that libXdmcp before 1.1.2 including used weak entropy to generate session keys. On a multi-user system using xdmcp, a local attacker could potentially use information available from the process list to brute force the key, allowing them to hijack other users\u0027 sessions.",
"id": "GSD-2017-2625",
"modified": "2023-12-13T01:21:05.882677Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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{
"product": {
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{
"product_name": "libXdmcp",
"version": {
"version_data": [
{
"version_affected": "=",
"version_value": "1.1.2"
}
]
}
}
]
},
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}
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}
]
},
"impact": {
"cvss": [
{
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
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"name": "http://www.securityfocus.com/bid/96480",
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{
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"name": "https://access.redhat.com/errata/RHSA-2017:1865",
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},
{
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"url": "https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2017-2625"
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{
"name": "https://lists.debian.org/debian-lts-announce/2019/11/msg00024.html",
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"url": "https://lists.debian.org/debian-lts-announce/2019/11/msg00024.html"
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"name": "https://security.gentoo.org/glsa/201704-03",
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{
"name": "https://www.x41-dsec.de/lab/advisories/x41-2017-001-xorg/",
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"url": "https://www.x41-dsec.de/lab/advisories/x41-2017-001-xorg/"
}
]
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},
"nvd.nist.gov": {
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}
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"references": {
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"name": "https://www.x41-dsec.de/lab/advisories/x41-2017-001-xorg/",
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"tags": [
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"url": "https://www.x41-dsec.de/lab/advisories/x41-2017-001-xorg/"
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{
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],
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2017-2625"
},
{
"name": "GLSA-201704-03",
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": true,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-02-12T23:29Z",
"publishedDate": "2018-07-27T18:29Z"
}
}
}
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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
| 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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