VAR-201706-0813
Vulnerability from variot - Updated: 2023-12-18 12:51In Wireshark 2.2.7, PROFINET IO data with a high recursion depth allows remote attackers to cause a denial of service (stack exhaustion) in the dissect_IODWriteReq function in plugins/profinet/packet-dcerpc-pn-io.c. Wireshark (formerly known as Ethereal) is a suite of network packet analysis software developed by the Wireshark team. The function of the software is to intercept network packets and display detailed data for analysis. A security vulnerability exists in the \342\200\230dissect_IODWriteReq\342\200\231 function of the plugins/profinet/packet-dcerpc-pn-io.c file in Wireshark version 2.2.7. Wireshark is prone to a remote denial-of-service vulnerability because it fails to properly handle certain types of packets. Attackers can exploit this issue to crash the affected application, resulting in denial-of-service conditions. Wireshark 2.2.7 is vulnerable; other versions may also be affected
Show details on source website{
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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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