CVE-2013-0772 (GCVE-0-2013-0772)
Vulnerability from cvelistv5 – Published: 2013-02-19 23:00 – Updated: 2024-08-06 14:41
VLAI
EPSS
VEX
Summary
The RasterImage::DrawFrameTo function in Mozilla Firefox before 19.0, Thunderbird before 17.0.3, and SeaMonkey before 2.16 allows remote attackers to obtain sensitive information from process memory or cause a denial of service (out-of-bounds read and application crash) via a crafted GIF image.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
8 references
| URL | Tags |
|---|---|
| http://www.mozilla.org/security/announce/2013/mfs… | x_refsource_CONFIRM |
| http://www.ubuntu.com/usn/USN-1729-1 | vendor-advisoryx_refsource_UBUNTU |
| http://www.ubuntu.com/usn/USN-1729-2 | vendor-advisoryx_refsource_UBUNTU |
| http://lists.opensuse.org/opensuse-updates/2013-0… | vendor-advisoryx_refsource_SUSE |
| https://bugzilla.mozilla.org/show_bug.cgi?id=801366 | x_refsource_CONFIRM |
| http://lists.opensuse.org/opensuse-security-annou… | vendor-advisoryx_refsource_SUSE |
| http://rhn.redhat.com/errata/RHSA-2013-1812.html | vendor-advisoryx_refsource_REDHAT |
| https://oval.cisecurity.org/repository/search/def… | vdb-entrysignaturex_refsource_OVAL |
Date Public
2013-02-19 00:00
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"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2025-11-21T12:45:32+00:00",
"cve": "CVE-2013-0772",
"id": "CVE-2013-0772",
"initial_release_date": "2013-02-19T00:00:00+00:00",
"product_status:fixed": "115",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Mozilla: Out-of-bounds read in image rendering (MFSA 2013-22)",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2013/cve-2013-0772.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-09-02T09:16:14Z",
"cve": "CVE-2013-0772",
"id": "CVE-2013-0772",
"initial_release_date": "2023-02-15T05:41:37Z",
"product_status:known_affected": "2",
"product_status:recommended": "182",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2013-0772",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2013-0772.json",
"version": "19"
}
}
}
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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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