CVE-2019-18282 (GCVE-0-2019-18282)
Vulnerability from cvelistv5 – Published: 2020-01-16 15:22 – Updated: 2024-08-05 01:47
VLAI
EPSS
VEX
Summary
The flow_dissector feature in the Linux kernel 4.3 through 5.x before 5.3.10 has a device tracking vulnerability, aka CID-55667441c84f. This occurs because the auto flowlabel of a UDP IPv6 packet relies on a 32-bit hashrnd value as a secret, and because jhash (instead of siphash) is used. The hashrnd value remains the same starting from boot time, and can be inferred by an attacker. This affects net/core/flow_dissector.c and related code.
Severity
5.3 (Medium)
CWE
- n/a
Assigner
References
5 references
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|---|---|
| https://cdn.kernel.org/pub/linux/kernel/v5.x/Chan… | x_refsource_MISC |
| https://git.kernel.org/pub/scm/linux/kernel/git/s… | x_refsource_CONFIRM |
| https://security.netapp.com/advisory/ntap-2020020… | x_refsource_CONFIRM |
| https://lists.debian.org/debian-lts-announce/2020… | mailing-listx_refsource_MLIST |
| https://www.computer.org/csdl/proceedings-article… | x_refsource_MISC |
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"value": "La funci\u00f3n flow_dissector en el kernel de Linux 4.3 a 5.x anterior a la versi\u00f3n 5.3.10 tiene una vulnerabilidad de seguimiento del dispositivo, tambi\u00e9n conocida como CID-55667441c84f. Esto ocurre porque la etiqueta de flujo autom\u00e1tico de un paquete UDP IPv6 se basa en un valor hashrnd de 32 bits como secreto y porque se usa jhash (en lugar de siphash). El valor hashrnd permanece igual a partir del tiempo de arranque, y puede ser inferido por un atacante. Esto afecta a net / core / flow_dissector.c y al c\u00f3digo relacionado."
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}
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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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