FKIE_CVE-2026-89577
Vulnerability from fkie_nvd - Published: 2026-09-11 20:19 - Updated: 2026-09-11 20:19
Severity
Summary
In the Linux kernel, the following vulnerability has been resolved:
dm-io: report non-retryable errors separatedly
The error codes BLK_STS_NOTSUPP and BLK_STS_INVAL should not cause leg
failure on dm-raid1. This patch changes the interface to dm-io, so that
it reports two error bitmaps - error_bits and unsup_bits. The unsup_bit
bitmap tracks BLK_STS_NOTSUPP or BLK_STS_INVAL errors, the error_bits
bitmap tracks all the other errors.
dm-raid1 is changed so that it won't fail a leg if it receives an error
in the unsup_bits bitmap.
This patch (with 62dc37a819a5) fixes misbehavior if the user uses
unaligned bio vectors on dm-raid1.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Linux",
"programFiles": [
"drivers/md/dm-bufio.c",
"drivers/md/dm-integrity.c",
"drivers/md/dm-io.c",
"drivers/md/dm-kcopyd.c",
"drivers/md/dm-log.c",
"drivers/md/dm-raid1.c",
"drivers/md/dm-snap-persistent.c",
"drivers/md/dm-verity-target.c",
"drivers/md/dm-writecache.c",
"include/linux/dm-io.h"
],
"repo": "https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git",
"vendor": "Linux",
"versions": [
{
"lessThan": "49694a363f7ecd5a52d1ea1a13c287ad6d196c35",
"status": "affected",
"version": "5ff3f74e145adc79b49668adb8de276446acf6be",
"versionType": "git"
},
{
"lessThan": "15fc1ec72e1f8089063d298550ada727e18f114a",
"status": "affected",
"version": "5ff3f74e145adc79b49668adb8de276446acf6be",
"versionType": "git"
},
{
"lessThan": "47a5e62f39875f371bded6e34ffb9cf15ccd813d",
"status": "affected",
"version": "5ff3f74e145adc79b49668adb8de276446acf6be",
"versionType": "git"
}
]
},
{
"defaultStatus": "affected",
"product": "Linux",
"programFiles": [
"drivers/md/dm-bufio.c",
"drivers/md/dm-integrity.c",
"drivers/md/dm-io.c",
"drivers/md/dm-kcopyd.c",
"drivers/md/dm-log.c",
"drivers/md/dm-raid1.c",
"drivers/md/dm-snap-persistent.c",
"drivers/md/dm-verity-target.c",
"drivers/md/dm-writecache.c",
"include/linux/dm-io.h"
],
"repo": "https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git",
"vendor": "Linux",
"versions": [
{
"status": "affected",
"version": "6.18"
},
{
"lessThan": "6.18",
"status": "unaffected",
"version": "0",
"versionType": "semver"
},
{
"lessThanOrEqual": "6.18.*",
"status": "unaffected",
"version": "6.18.50",
"versionType": "semver"
},
{
"lessThanOrEqual": "7.2.*",
"status": "unaffected",
"version": "7.2.4",
"versionType": "semver"
},
{
"lessThanOrEqual": "*",
"status": "unaffected",
"version": "7.3-rc1",
"versionType": "original_commit_for_fix"
}
]
}
],
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In the Linux kernel, the following vulnerability has been resolved:\n\ndm-io: report non-retryable errors separatedly\n\nThe error codes BLK_STS_NOTSUPP and BLK_STS_INVAL should not cause leg\nfailure on dm-raid1. This patch changes the interface to dm-io, so that\nit reports two error bitmaps - error_bits and unsup_bits. The unsup_bit\nbitmap tracks BLK_STS_NOTSUPP or BLK_STS_INVAL errors, the error_bits\nbitmap tracks all the other errors.\n\ndm-raid1 is changed so that it won\u0027t fail a leg if it receives an error\nin the unsup_bits bitmap.\n\nThis patch (with 62dc37a819a5) fixes misbehavior if the user uses\nunaligned bio vectors on dm-raid1."
}
],
"id": "CVE-2026-89577",
"lastModified": "2026-09-11T20:19:41.890",
"metrics": {},
"published": "2026-09-11T20:19:41.890",
"references": [
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"url": "https://git.kernel.org/stable/c/15fc1ec72e1f8089063d298550ada727e18f114a"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"url": "https://git.kernel.org/stable/c/47a5e62f39875f371bded6e34ffb9cf15ccd813d"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"url": "https://git.kernel.org/stable/c/49694a363f7ecd5a52d1ea1a13c287ad6d196c35"
}
],
"sourceIdentifier": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"vulnStatus": "Received"
}
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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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