CVE-2012-3444 (GCVE-0-2012-3444)
Vulnerability from cvelistv5 – Published: 2012-07-31 17:00 – Updated: 2024-08-06 20:05
VLAI
EPSS
VEX
Summary
The get_image_dimensions function in the image-handling functionality in Django before 1.3.2 and 1.4.x before 1.4.1 uses a constant chunk size in all attempts to determine dimensions, which allows remote attackers to cause a denial of service (process or thread consumption) via a large TIFF image.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
6 references
| URL | Tags |
|---|---|
| http://www.openwall.com/lists/oss-security/2012/07/31/1 | mailing-listx_refsource_MLIST |
| https://www.djangoproject.com/weblog/2012/jul/30/… | x_refsource_CONFIRM |
| http://www.mandriva.com/security/advisories?name=… | vendor-advisoryx_refsource_MANDRIVA |
| http://www.ubuntu.com/usn/USN-1560-1 | vendor-advisoryx_refsource_UBUNTU |
| http://www.openwall.com/lists/oss-security/2012/07/31/2 | mailing-listx_refsource_MLIST |
| http://www.debian.org/security/2012/dsa-2529 | vendor-advisoryx_refsource_DEBIAN |
Date Public
2012-07-30 00:00
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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
| 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
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