CVE-2022-32296 (GCVE-0-2022-32296)
Vulnerability from cvelistv5 – Published: 2022-06-05 21:53 – Updated: 2024-08-03 07:39
VLAI
EPSS
VEX
Summary
The Linux kernel before 5.17.9 allows TCP servers to identify clients by observing what source ports are used. This occurs because of use of Algorithm 4 ("Double-Hash Port Selection Algorithm") of RFC 6056.
Severity
CWE
- n/a
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://git.kernel.org/cgit/linux/kernel/git/torv… | x_refsource_MISC |
| https://cdn.kernel.org/pub/linux/kernel/v5.x/Chan… | x_refsource_MISC |
| https://lists.debian.org/debian-lts-announce/2022… | mailing-listx_refsource_MLIST |
| https://www.debian.org/security/2022/dsa-5173 | vendor-advisoryx_refsource_DEBIAN |
| https://arxiv.org/abs/2209.12993 | x_refsource_MISC |
| https://github.com/0xkol/rfc6056-device-tracker | x_refsource_MISC |
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"published": "2022-06-05T22:15:08.797",
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"redhat_vex": {
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"current_release_date": "2026-07-03T12:04:07+00:00",
"cve": "CVE-2022-32296",
"id": "CVE-2022-32296",
"initial_release_date": "2022-05-05T00:00:00+00:00",
"product_status:fixed": "2",
"product_status:under_investigation": "198",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: insufficient TCP source port randomness leads to client identification",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-32296.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-09-02T02:10:57Z",
"cve": "CVE-2022-32296",
"id": "CVE-2022-32296",
"initial_release_date": "2023-02-15T03:25:18Z",
"product_status:known_affected": "274",
"product_status:known_not_affected": "116",
"product_status:recommended": "830",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2022-32296",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-32296.json",
"version": "42"
}
}
}
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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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