CVE-2024-11704 (GCVE-0-2024-11704)
Vulnerability from cvelistv5 – Published: 2024-11-26 13:33 – Updated: 2025-11-03 20:36
VLAI
EPSS
VEX
Summary
A double-free issue could have occurred in `sec_pkcs7_decoder_start_decrypt()` when handling an error path. Under specific conditions, the same symmetric key could have been freed twice, potentially leading to memory corruption. This vulnerability affects Firefox < 133, Thunderbird < 133, Firefox ESR < 128.7, and Thunderbird < 128.7.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-27 15:21 UTC
CWE
- Potential double-free vulnerability in PKCS#7 decryption handling
- CWE-415 - Double Free
Assigner
References
7 references
Impacted products
6 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Mozilla | Firefox |
Affected:
unspecified , < 133
(custom)
|
guessed | |
| Mozilla | Thunderbird |
Affected:
unspecified , < 133
(custom)
|
guessed | |
| Mozilla | Firefox ESR |
Affected:
unspecified , < 128.7
(custom)
|
guessed | |
| Mozilla | Thunderbird |
Affected:
unspecified , < 128.7
(custom)
|
guessed | |
| mozilla | firefox |
Affected:
0 , < 133
(custom)
cpe:2.3:a:mozilla:firefox:-:*:*:*:*:*:*:* |
||
| mozilla | thunderbird |
Affected:
0 , < 133
(custom)
cpe:2.3:a:mozilla:thunderbird:-:*:*:*:*:*:*:* |
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"references": [
{
"url": "https://bugzilla.mozilla.org/show_bug.cgi?id=1899402"
},
{
"url": "https://www.mozilla.org/security/advisories/mfsa2024-63/"
},
{
"url": "https://www.mozilla.org/security/advisories/mfsa2024-67/"
},
{
"url": "https://www.mozilla.org/security/advisories/mfsa2025-09/"
},
{
"url": "https://www.mozilla.org/security/advisories/mfsa2025-10/"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "f16b083a-5664-49f3-a51e-8d479e5ed7fe",
"assignerShortName": "mozilla",
"cveId": "CVE-2024-11704",
"datePublished": "2024-11-26T13:33:59.991Z",
"dateReserved": "2024-11-25T16:29:45.930Z",
"dateUpdated": "2025-11-03T20:36:29.923Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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