GSD-2022-25310
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A segmentation fault (SEGV) flaw was found in the Fribidi package and affects the fribidi_remove_bidi_marks() function of the lib/fribidi.c file. This flaw allows an attacker to pass a specially crafted file to Fribidi, leading to a crash and causing a denial of service.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-25310",
"description": "A segmentation fault (SEGV) flaw was found in the Fribidi package and affects the fribidi_remove_bidi_marks() function of the lib/fribidi.c file. This flaw allows an attacker to pass a specially crafted file to Fribidi, leading to a crash and causing a denial of service.",
"id": "GSD-2022-25310",
"references": [
"https://www.suse.com/security/cve/CVE-2022-25310.html",
"https://advisories.mageia.org/CVE-2022-25310.html",
"https://ubuntu.com/security/CVE-2022-25310",
"https://access.redhat.com/errata/RHSA-2022:7514",
"https://access.redhat.com/errata/RHSA-2022:8011"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "A segmentation fault (SEGV) flaw was found in the Fribidi package and affects the fribidi_remove_bidi_marks() function of the lib/fribidi.c file. This flaw allows an attacker to pass a specially crafted file to Fribidi, leading to a crash and causing a denial of service.",
"id": "GSD-2022-25310",
"modified": "2023-12-13T01:19:27.433017Z",
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"name": "https://github.com/fribidi/fribidi/issues/183",
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"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c1.0.12",
"affected_versions": "All versions before 1.0.12",
"cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"cwe_ids": [
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"CWE-476",
"CWE-937"
],
"date": "2023-06-23",
"description": "A segmentation fault (SEGV) flaw was found in the Fribidi package and affects the `fribidi_remove_bidi_marks()` function of the `lib/fribidi.c` file. This flaw allows an attacker to pass a specially crafted file to Fribidi, leading to a crash and causing a denial of service.",
"fixed_versions": [
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],
"identifier": "CVE-2022-25310",
"identifiers": [
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"not_impacted": "All versions starting from 1.0.12",
"package_slug": "conan/fribidi",
"pubdate": "2022-09-06",
"solution": "Upgrade to version 1.0.12 or above.",
"title": "Improper Input Validation",
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"https://access.redhat.com/security/cve/CVE-2022-25310",
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"impact": {
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"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.1"
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"exploitabilityScore": 1.8,
"impactScore": 3.6
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},
"lastModifiedDate": "2023-06-23T17:50Z",
"publishedDate": "2022-09-06T18:15Z"
}
}
}
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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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