CVE-2026-31522 (GCVE-0-2026-31522)
Vulnerability from cvelistv5 – Published: 2026-04-22 13:54 – Updated: 2026-05-23 16:05
VLAI
EPSS
VEX
Title
HID: magicmouse: avoid memory leak in magicmouse_report_fixup()
Summary
In the Linux kernel, the following vulnerability has been resolved:
HID: magicmouse: avoid memory leak in magicmouse_report_fixup()
The magicmouse_report_fixup() function was returning a
newly kmemdup()-allocated buffer, but never freeing it.
The caller of report_fixup() does not take ownership of the returned
pointer, but it *is* permitted to return a sub-portion of the input
rdesc, whose lifetime is managed by the caller.
Severity
5.5 (Medium)
Assigner
References
7 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
e6ad399596bd234be4722022146e33e15c7e424d , < 579c4c9857acdc8380fa99803f355f878bd766cb
(git)
Affected: 0b91b4e4dae63cd43871fc2012370b86ee588f91 , < d84c21aabaab517b9aaf9bc1d785922cb9db2f31 (git) Affected: 0b91b4e4dae63cd43871fc2012370b86ee588f91 , < 7edfe4346b052b708645d0acc0f186425766b785 (git) Affected: 0b91b4e4dae63cd43871fc2012370b86ee588f91 , < 79e5dcc95d9abed6f8203cfd529f4ec71f0e505d (git) Affected: 0b91b4e4dae63cd43871fc2012370b86ee588f91 , < 136f605e246b4bfe7ac2259471d1ff814aed0084 (git) Affected: 0b91b4e4dae63cd43871fc2012370b86ee588f91 , < fa95b0146358b49f9858139b67314591fd5871b0 (git) Affected: 0b91b4e4dae63cd43871fc2012370b86ee588f91 , < 91e8c6e601bdc1ccdf886479b6513c01c7e51c2c (git) Affected: c394bd1bc8537e61593b6b6799e01495c7cf9008 (git) Affected: 5.15.17 , < 5.15.203 (semver) Affected: 5.16.3 , < 5.17 (semver) |
guessed | |
| Linux | Linux |
Affected:
5.17
Unaffected: 0 , < 5.17 (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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"title": "kernel: HID: magicmouse: avoid memory leak in magicmouse_report_fixup()",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-31522.json",
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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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