FKIE_CVE-2008-3916
Vulnerability from fkie_nvd - Published: 2008-09-04 18:41 - Updated: 2026-06-16 22:56
Severity
Summary
Heap-based buffer overflow in the strip_escapes function in signal.c in GNU ed before 1.0 allows context-dependent or user-assisted attackers to execute arbitrary code via a long filename. NOTE: since ed itself does not typically run with special privileges, this issue only crosses privilege boundaries when ed is invoked as a third-party component.
References
{
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"lang": "en",
"value": "Heap-based buffer overflow in the strip_escapes function in signal.c in GNU ed before 1.0 allows context-dependent or user-assisted attackers to execute arbitrary code via a long filename. NOTE: since ed itself does not typically run with special privileges, this issue only crosses privilege boundaries when ed is invoked as a third-party component."
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"lang": "es",
"value": "Vulnerabilidad de desbordamiento de b\u00fafer basado en mont\u00edculo en la Funci\u00f3n strip_escapes en signal.c en GNU ed 1.0, permite a atacantes asistidos por el usuario o dependientes de contexto, ejecutar c\u00f3digo de su elecci\u00f3n a trav\u00e9s de un nombre de archivo largo. NOTA: puesto que ed no se ejecuta con privilegios especiales, esta cuesti\u00f3n solo afecta a los privilegios de la aplicaci\u00f3n ed cuando se encuentra a\u00f1adido en una aplicaci\u00f3n de terceros."
}
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"evaluatorComment": "http://xforce.iss.net/xforce/xfdb/44643\r\n\r\n\"GNU ed is vulnerable to a heap-based buffer overflow, caused by improper bounds checking by the strip_escapes() function. By persuading a victim to open a specially-crafted file, a remote attacker could overflow a buffer and execute arbitrary code on the system.\"",
"id": "CVE-2008-3916",
"lastModified": "2026-06-16T22:56:48.490",
"metrics": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 9.3,
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"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:M/Au:N/C:C/I:C/A:C",
"version": "2.0"
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"published": "2008-09-04T18:41:00.000",
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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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