FKIE_CVE-2026-18238
Vulnerability from fkie_nvd - Published: 2026-09-05 19:16 - Updated: 2026-09-05 19:16
Severity
Summary
The rpcap client code that processes a RPCAP_MSG_PACKET message received from the server incorrectly validates its headers. A malicious server can send a crafted message and cause the client to treat up to 20 bytes of the client process memory beyond the end of the buffer as if it was a part of the captured packet.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"modules": [
"remote packet capture client"
],
"product": "libpcap",
"programFiles": [
"pcap-rpcap.c"
],
"programRoutines": [
{
"name": "pcap_read_nocb_remote()"
}
],
"repo": "https://github.com/the-tcpdump-group/libpcap/",
"vendor": "The Tcpdump Group",
"versions": [
{
"status": "affected",
"version": "1.8.x"
},
{
"status": "affected",
"version": "1.9.x"
},
{
"lessThan": "1.10.7",
"status": "affected",
"version": "1.10.x",
"versionType": "semver"
}
]
}
],
"source": "security@tcpdump.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The rpcap client code that processes a RPCAP_MSG_PACKET message received from the server incorrectly validates its headers. A malicious server can send a crafted message and cause the client to treat up to 20 bytes of the client process memory beyond the end of the buffer as if it was a part of the captured packet."
}
],
"id": "CVE-2026-18238",
"lastModified": "2026-09-05T19:16:55.477",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 1.4,
"source": "security@tcpdump.org",
"type": "Secondary"
}
]
},
"published": "2026-09-05T19:16:55.477",
"references": [
{
"source": "security@tcpdump.org",
"url": "https://github.com/the-tcpdump-group/libpcap/commit/b9590d482986d64673712460aae1d48d11fa0473"
}
],
"sourceIdentifier": "security@tcpdump.org",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-126"
},
{
"lang": "en",
"value": "CWE-1288"
}
],
"source": "security@tcpdump.org",
"type": "Secondary"
}
]
}
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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.
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.
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