FKIE_CVE-2015-7515
Vulnerability from fkie_nvd - Published: 2016-04-27 17:59 - Updated: 2026-06-17 00:32
Severity
Summary
The aiptek_probe function in drivers/input/tablet/aiptek.c in the Linux kernel before 4.4 allows physically proximate attackers to cause a denial of service (NULL pointer dereference and system crash) via a crafted USB device that lacks endpoints.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| linux | linux_kernel | * | |
| linux | linux_kernel | 4.4 | |
| linux | linux_kernel | 4.4 | |
| linux | linux_kernel | 4.4 | |
| linux | linux_kernel | 4.4 | |
| linux | linux_kernel | 4.4 | |
| linux | linux_kernel | 4.4 | |
| linux | linux_kernel | 4.4 | |
| linux | linux_kernel | 4.4 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
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"value": "The aiptek_probe function in drivers/input/tablet/aiptek.c in the Linux kernel before 4.4 allows physically proximate attackers to cause a denial of service (NULL pointer dereference and system crash) via a crafted USB device that lacks endpoints."
},
{
"lang": "es",
"value": "La funci\u00f3n aiptek_probe en drivers/input/tablet/aiptek.c en el Kernel de Linux en versiones anteriores a 4.4 permite a atacantes f\u00edsicamente pr\u00f3ximos provocar una denegaci\u00f3n de servicio (referencia a puntero NULL y ca\u00edda de sistema) a trav\u00e9s de un dispositivo USB manipulado que carece de dispositivos finales."
}
],
"id": "CVE-2015-7515",
"lastModified": "2026-06-17T00:32:40.870",
"metrics": {
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"baseSeverity": "MEDIUM",
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"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 4.9,
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"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
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"exploitabilityScore": 3.9,
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"confidentialityImpact": "NONE",
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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"published": "2016-04-27T17:59:01.100",
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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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