CVE-2013-2480 (GCVE-0-2013-2480)
Vulnerability from cvelistv5 – Published: 2013-03-07 15:00 – Updated: 2024-08-06 15:36
VLAI
EPSS
VEX
Summary
The RTPS and RTPS2 dissectors in Wireshark 1.6.x before 1.6.14 and 1.8.x before 1.8.6 allow remote attackers to cause a denial of service (application crash) via a malformed packet.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
9 references
| URL | Tags |
|---|---|
| http://www.wireshark.org/docs/relnotes/wireshark-… | x_refsource_CONFIRM |
| https://oval.cisecurity.org/repository/search/def… | vdb-entrysignaturex_refsource_OVAL |
| http://lists.opensuse.org/opensuse-updates/2013-0… | vendor-advisoryx_refsource_SUSE |
| https://bugs.wireshark.org/bugzilla/show_bug.cgi?… | x_refsource_CONFIRM |
| http://secunia.com/advisories/52471 | third-party-advisoryx_refsource_SECUNIA |
| http://www.wireshark.org/docs/relnotes/wireshark-… | x_refsource_CONFIRM |
| http://lists.opensuse.org/opensuse-updates/2013-0… | vendor-advisoryx_refsource_SUSE |
| http://www.wireshark.org/security/wnpa-sec-2013-15.html | x_refsource_CONFIRM |
| http://www.debian.org/security/2013/dsa-2644 | vendor-advisoryx_refsource_DEBIAN |
Date Public
2013-03-06 00:00
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"cveTags": [],
"descriptions": [
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},
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}
],
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"lastModified": "2026-04-29T01:13:23.040",
"metrics": {
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"baseSeverity": "LOW",
"cvssData": {
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"accessVector": "ADJACENT_NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 3.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:A/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 6.5,
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}
]
},
"published": "2013-03-07T15:55:01.637",
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},
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},
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"id": "CVE-2013-2480",
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"source": "Red Hat CSAF VEX",
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"title": "wireshark: Crash in the RTPS and RTPS2 dissectors (wnpa-sec-2013-15, upstream bug 8332)",
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"id": "CVE-2013-2480",
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"product_status:recommended": "165",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2013-2480",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2013-2480.json",
"version": "13"
}
}
}
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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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