CVE-2022-31739 (GCVE-0-2022-31739)
Vulnerability from cvelistv5 – Published: 2022-12-22 00:00 – Updated: 2025-04-16 13:52
VLAI
EPSS
VEX
Summary
When downloading files on Windows, the % character was not escaped, which could have lead to a download incorrectly being saved to attacker-influenced paths that used variables such as %HOMEPATH% or %APPDATA%.<br>*This bug only affects Firefox for Windows. Other operating systems are unaffected.*. This vulnerability affects Thunderbird < 91.10, Firefox < 101, and Firefox ESR < 91.10.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-16 13:52 UTC
CWE
- Attacker-influenced path traversal when saving downloaded files
- CWE-73 - External Control of File Name or Path
Assigner
References
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Mozilla | Thunderbird |
Affected:
unspecified , < 91.10
(custom)
|
guessed | |
| Mozilla | Firefox |
Affected:
unspecified , < 101
(custom)
|
guessed | |
| Mozilla | Firefox ESR |
Affected:
unspecified , < 91.10
(custom)
|
guessed |
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"value": "When downloading files on Windows, the % character was not escaped, which could have lead to a download incorrectly being saved to attacker-influenced paths that used variables such as %HOMEPATH% or %APPDATA%.\u003cbr\u003e*This bug only affects Firefox for Windows. Other operating systems are unaffected.*. This vulnerability affects Thunderbird \u003c 91.10, Firefox \u003c 101, and Firefox ESR \u003c 91.10."
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "Attacker-influenced path traversal when saving downloaded files",
"lang": "en",
"type": "text"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-12-22T00:00:00.000Z",
"orgId": "f16b083a-5664-49f3-a51e-8d479e5ed7fe",
"shortName": "mozilla"
},
"references": [
{
"url": "https://www.mozilla.org/security/advisories/mfsa2022-20/"
},
{
"url": "https://www.mozilla.org/security/advisories/mfsa2022-22/"
},
{
"url": "https://www.mozilla.org/security/advisories/mfsa2022-21/"
},
{
"url": "https://bugzilla.mozilla.org/show_bug.cgi?id=1765049"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "f16b083a-5664-49f3-a51e-8d479e5ed7fe",
"assignerShortName": "mozilla",
"cveId": "CVE-2022-31739",
"datePublished": "2022-12-22T00:00:00.000Z",
"dateReserved": "2022-05-26T00:00:00.000Z",
"dateUpdated": "2025-04-16T13:52:46.926Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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