FKIE_CVE-2010-1449
Vulnerability from fkie_nvd - Published: 2010-05-27 19:30 - Updated: 2026-06-16 23:18
Severity
Summary
Integer overflow in rgbimgmodule.c in the rgbimg module in Python 2.5 allows remote attackers to have an unspecified impact via a large image that triggers a buffer overflow. NOTE: this vulnerability exists because of an incomplete fix for CVE-2008-3143.12.
References
{
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"value": "Desbordamiento de entero en rgbimgmodule.c en el m\u00f3dulo rgbimg en Python v2.5 permite a atacantes remotos tener un impacto sin especificar a trav\u00e9s de fichero de imagen grande que provoca un desbordamiento de b\u00fafer. NOTA: esta vulnerabilidad existe debido a una soluci\u00f3n incompleta de CVE-2008-3143.12."
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"id": "CVE-2010-1449",
"lastModified": "2026-06-16T23:18:24.860",
"metrics": {
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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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