GHSA-278V-QWXJ-MCM9
Vulnerability from github – Published: 2026-08-15 06:32 – Updated: 2026-08-15 06:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
iio: magnetometer: ak8975: fix potential kernel stack memory leak
Currently in the AK8975 driver there are four instances where potential uninitialized kernel stack memory leaks can occur. If i2c_smbus_read_i2c_block_data_or_emulated() returns a value less than the size of the buffer, uninitialized bytes are retained in the buffer and later the buffer is passed on to IIO buffers, potentially leaking memory to userspace.
Fix this by adding checks whether the return value of the function is equal to the size of the buffer and subsequently if the value is lesser than zero to distinguish from a returned error code.
{
"affected": [],
"aliases": [
"CVE-2026-72481"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-15T06:22:22Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\niio: magnetometer: ak8975: fix potential kernel stack memory leak\n\nCurrently in the AK8975 driver there are four instances where potential\nuninitialized kernel stack memory leaks can occur. If\ni2c_smbus_read_i2c_block_data_or_emulated() returns a value less than\nthe size of the buffer, uninitialized bytes are retained in the buffer\nand later the buffer is passed on to IIO buffers, potentially leaking\nmemory to userspace.\n\nFix this by adding checks whether the return value of the function is\nequal to the size of the buffer and subsequently if the value is\nlesser than zero to distinguish from a returned error code.",
"id": "GHSA-278v-qwxj-mcm9",
"modified": "2026-08-15T06:32:26Z",
"published": "2026-08-15T06:32:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-72481"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/12848f4ded022963944c063e09a192549a4dad1e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/3d57672119525c59ed73ea21accb001ccbcd6cfd"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8cf346074533356d67a6a6a43a192328ad341f11"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9f920550abacedc7fc3163dea65ac2a7d0b0765d"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a9a00d727b7bbc5e913a919530a9dd468935bf95"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a9cf46054f81972f8c0f1dc2a79d2a141999dbce"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b974566803bceb72f0b9b5f1d7270b79ba963766"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/fb27ebf81136e796c7b719303ef6fd7e1ae5d488"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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.
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.
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