FKIE_CVE-2008-1573
Vulnerability from fkie_nvd - Published: 2008-06-02 21:30 - Updated: 2026-06-16 22:52
Severity
Summary
The BMP and GIF image decoding engine in ImageIO in Apple Mac OS X before 10.5.3 allows remote attackers to obtain sensitive information (memory contents) via a crafted (1) BMP or (2) GIF image, which causes an out-of-bounds read.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| apple | mac_os_x | * | |
| apple | mac_os_x | 10.4.11 | |
| apple | mac_os_x | 10.5 | |
| apple | mac_os_x | 10.5.1 | |
| apple | mac_os_x_server | * | |
| apple | mac_os_x_server | 10.4.11 | |
| apple | mac_os_x_server | 10.5 | |
| apple | mac_os_x_server | 10.5.1 |
{
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"value": "The BMP and GIF image decoding engine in ImageIO in Apple Mac OS X before 10.5.3 allows remote attackers to obtain sensitive information (memory contents) via a crafted (1) BMP or (2) GIF image, which causes an out-of-bounds read."
},
{
"lang": "es",
"value": "El motor de decodificaci\u00f3n de im\u00e1genes BMP y GIF en ImageIO en Apple Mac OS X versiones anteriores a 10.5.3, permite a los atacantes remotos obtener informaci\u00f3n confidencial (contenido de memoria) por medio de una imagen (1) BMP o (2) GIF dise\u00f1ada, lo que causa una lectura fuera de l\u00edmites."
}
],
"id": "CVE-2008-1573",
"lastModified": "2026-06-16T22:52:00.337",
"metrics": {
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{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 7.1,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:C/I:N/A:N",
"version": "2.0"
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"published": "2008-06-02T21:30:00.000",
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}
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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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