FKIE_CVE-2012-4298
Vulnerability from fkie_nvd - Published: 2012-08-16 10:38 - Updated: 2026-06-16 23:44
Severity
Summary
Integer signedness error in the vwr_read_rec_data_ethernet function in wiretap/vwr.c in the Ixia IxVeriWave file parser in Wireshark 1.8.x before 1.8.2 allows user-assisted remote attackers to execute arbitrary code via a crafted packet-trace file that triggers a buffer overflow.
References
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},
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"value": "Error de signo de entero en la funci\u00f3n vwr_read_rec_data_ethernet en wiretap/vwr.c en el analizador de archivos Ixia IxVeriWave en Wireshark v1.8.x antes de v1.8.2 permite a atacantes remotos asistidos por el usuario ejecutar c\u00f3digo de su elecci\u00f3n a trav\u00e9s de un fichero de traza de paquetes modificado a mano que provoca un desbordamiento de b\u00fafer.\r\n"
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"lastModified": "2026-06-16T23:44:48.927",
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"url": "https://blogs.oracle.com/sunsecurity/entry/multiple_vulnerabilities_in_wireshark3"
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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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