CVE-2026-31512 (GCVE-0-2026-31512)
Vulnerability from cvelistv5 – Published: 2026-04-22 13:54 – Updated: 2026-05-11 22:10
VLAI
EPSS
VEX
Title
Bluetooth: L2CAP: Validate PDU length before reading SDU length in l2cap_ecred_data_rcv()
Summary
In the Linux kernel, the following vulnerability has been resolved:
Bluetooth: L2CAP: Validate PDU length before reading SDU length in l2cap_ecred_data_rcv()
l2cap_ecred_data_rcv() reads the SDU length field from skb->data using
get_unaligned_le16() without first verifying that skb contains at least
L2CAP_SDULEN_SIZE (2) bytes. When skb->len is less than 2, this reads
past the valid data in the skb.
The ERTM reassembly path correctly calls pskb_may_pull() before reading
the SDU length (l2cap_reassemble_sdu, L2CAP_SAR_START case). Apply the
same validation to the Enhanced Credit Based Flow Control data path.
Severity
5.5 (Medium)
Assigner
References
8 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
aac23bf636593cc2d67144aed373a46a1a5f76b1 , < cef09691cfb61f6c91cc27c3d69634f81c8ab949
(git)
Affected: aac23bf636593cc2d67144aed373a46a1a5f76b1 , < 3340be2bafdcc806f048273ea6d8e82a6597aa1b (git) Affected: aac23bf636593cc2d67144aed373a46a1a5f76b1 , < e47315b84d0eb188772c3ff5cf073cdbdefca6b4 (git) Affected: aac23bf636593cc2d67144aed373a46a1a5f76b1 , < 477ad4976072056c348937e94f24583321938df4 (git) Affected: aac23bf636593cc2d67144aed373a46a1a5f76b1 , < 40c7f7eea2f4d9cb0b3e924254c8c9053372168f (git) Affected: aac23bf636593cc2d67144aed373a46a1a5f76b1 , < 8c96f3bd4ae0802db90630be8e9851827e9c9209 (git) Affected: aac23bf636593cc2d67144aed373a46a1a5f76b1 , < 5ad981249be52f5e4e92e0e97b436b569071cb86 (git) Affected: aac23bf636593cc2d67144aed373a46a1a5f76b1 , < c65bd945d1c08c3db756821b6bf9f1c4a77b29c6 (git) |
guessed | |
| Linux | Linux |
Affected:
3.14
Unaffected: 0 , < 3.14 (semver) Unaffected: 5.10.253 , ≤ 5.10.* (semver) Unaffected: 5.15.203 , ≤ 5.15.* (semver) Unaffected: 6.1.168 , ≤ 6.1.* (semver) Unaffected: 6.6.131 , ≤ 6.6.* (semver) Unaffected: 6.12.80 , ≤ 6.12.* (semver) Unaffected: 6.18.21 , ≤ 6.18.* (semver) Unaffected: 6.19.11 , ≤ 6.19.* (semver) Unaffected: 7.0 , ≤ * (original_commit_for_fix) |
guessed |
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"value": "In the Linux kernel, the following vulnerability has been resolved:\n\nBluetooth: L2CAP: Validate PDU length before reading SDU length in l2cap_ecred_data_rcv()\n\nl2cap_ecred_data_rcv() reads the SDU length field from skb-\u003edata using\nget_unaligned_le16() without first verifying that skb contains at least\nL2CAP_SDULEN_SIZE (2) bytes. When skb-\u003elen is less than 2, this reads\npast the valid data in the skb.\n\nThe ERTM reassembly path correctly calls pskb_may_pull() before reading\nthe SDU length (l2cap_reassemble_sdu, L2CAP_SAR_START case). Apply the\nsame validation to the Enhanced Credit Based Flow Control data path."
}
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{
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"title": "Bluetooth: L2CAP: Validate PDU length before reading SDU length in l2cap_ecred_data_rcv()",
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"datePublished": "2026-04-22T13:54:30.171Z",
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"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-06-28T11:50:43+00:00",
"cve": "CVE-2026-31512",
"id": "CVE-2026-31512",
"initial_release_date": "2026-04-22T00:00:00+00:00",
"product_status:known_affected": "260",
"product_status:known_not_affected": "14",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: Bluetooth: L2CAP: Validate PDU length before reading SDU length in l2cap_ecred_data_rcv()",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-31512.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "important",
"current_release_date": "2026-08-21T01:15:36Z",
"cve": "CVE-2026-31512",
"id": "CVE-2026-31512",
"initial_release_date": "2026-04-23T01:25:08Z",
"product_status:first_fixed": "55",
"product_status:known_affected": "456",
"product_status:known_not_affected": "19",
"product_status:recommended": "441",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2026-31512",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2026-31512.json",
"version": "17"
}
}
}
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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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