GSD-2022-39170
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
libdwarf 0.4.1 has a double free in _dwarf_exec_frame_instr in dwarf_frame.c.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-39170",
"description": "libdwarf 0.4.1 has a double free in _dwarf_exec_frame_instr in dwarf_frame.c.",
"id": "GSD-2022-39170",
"references": [
"https://www.suse.com/security/cve/CVE-2022-39170.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-39170"
],
"details": "libdwarf 0.4.1 has a double free in _dwarf_exec_frame_instr in dwarf_frame.c.",
"id": "GSD-2022-39170",
"modified": "2023-12-13T01:19:20.508518Z",
"schema_version": "1.4.0"
}
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"name": "https://github.com/davea42/libdwarf-code/issues/132",
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},
"gitlab.com": {
"advisories": [
{
"affected_range": "=0.4.1",
"affected_versions": "Version 0.4.1",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-415",
"CWE-937"
],
"date": "2022-09-29",
"description": "libdwarf 0.4.1 has a double free in _dwarf_exec_frame_instr in dwarf_frame.c.",
"fixed_versions": [
"20191104"
],
"identifier": "CVE-2022-39170",
"identifiers": [
"CVE-2022-39170"
],
"not_impacted": "All versions before 0.4.1, all versions after 0.4.1",
"package_slug": "conan/libdwarf",
"pubdate": "2022-09-02",
"solution": "Upgrade to version 20191104 or above.",
"title": "Double Free",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-39170",
"https://github.com/davea42/libdwarf-code/commit/60303eb80ecc7747bf29776d545e2a5c5a76f6f8",
"https://github.com/davea42/libdwarf-code/issues/132"
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"uuid": "de18a47b-7220-495e-89dc-54a48761b469"
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"tags": [
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},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2022-09-29T15:50Z",
"publishedDate": "2022-09-02T03:15Z"
}
}
}
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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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