CVE-2026-45877 (GCVE-0-2026-45877)
Vulnerability from cvelistv5 – Published: 2026-05-27 12:16 – Updated: 2026-05-27 12:16
VLAI
EPSS
VEX
Title
HID: intel-ish-hid: fix NULL-ptr-deref in ishtp_bus_remove_all_clients
Summary
In the Linux kernel, the following vulnerability has been resolved:
HID: intel-ish-hid: fix NULL-ptr-deref in ishtp_bus_remove_all_clients
During a warm reset flow, the cl->device pointer may be NULL if the
reset occurs while clients are still being enumerated. Accessing
cl->device->reference_count without a NULL check leads to a kernel panic.
This issue was identified during multi-unit warm reboot stress clycles.
Add a defensive NULL check for cl->device to ensure stability under
such intensive testing conditions.
KASAN: null-ptr-deref in range [0000000000000000-0000000000000007]
Workqueue: ish_fw_update_wq fw_reset_work_fn
Call Trace:
ishtp_bus_remove_all_clients+0xbe/0x130 [intel_ishtp]
ishtp_reset_handler+0x85/0x1a0 [intel_ishtp]
fw_reset_work_fn+0x8a/0xc0 [intel_ish_ipc]
Severity
5.5 (Medium)
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
3703f53b99e4a7c373ce3568dd3f91f175ebb626 , < 0b605e8ce60698c27a26f512968a597fd620d2e8
(git)
Affected: 3703f53b99e4a7c373ce3568dd3f91f175ebb626 , < feb4bcfd405282de60aba321f13a1272b30c5af4 (git) Affected: 3703f53b99e4a7c373ce3568dd3f91f175ebb626 , < 272dac57caa981718e7188c80c703e7bb1998054 (git) Affected: 3703f53b99e4a7c373ce3568dd3f91f175ebb626 , < 56f7db581ee73af53cd512e00a6261a025bf1d58 (git) |
guessed | |
| Linux | Linux |
Affected:
4.9
Unaffected: 0 , < 4.9 (semver) Unaffected: 6.12.75 , ≤ 6.12.* (semver) Unaffected: 6.18.14 , ≤ 6.18.* (semver) Unaffected: 6.19.4 , ≤ 6.19.* (semver) Unaffected: 7.0 , ≤ * (original_commit_for_fix) |
guessed |
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"title": "HID: intel-ish-hid: fix NULL-ptr-deref in ishtp_bus_remove_all_clients",
"url": "https://msrc.microsoft.com/csaf/vex/2026/msrc_cve-2026-45877.json",
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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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