Vulnerability-Lookup

VAR-201911-0436

Vulnerability from variot - Updated: 2024-11-23 22:11

The Xiaomi Mi Mix 2S Android device with a build fingerprint of Xiaomi/polaris/polaris:8.0.0/OPR1.170623.032/V9.5.19.0.ODGMIFA:user/release-keys contains a pre-installed app with a package name of com.qualcomm.qti.callenhancement app (versionCode=27, versionName=8.1.0) that allows other pre-installed apps to perform microphone audio recording via an accessible app component. This capability can be accessed by any pre-installed app on the device which can obtain signatureOrSystem permissions that are required by other other pre-installed apps that export their capabilities to other pre-installed app. This app allows a third-party app to use its open interface to record telephone calls to external storage. Xiaomi Mi Mix 2S Android Devices are vulnerable to improper assignment of permissions to critical resources.Information may be obtained. Xiaomi Mi Mix 2S is a smartphone from China Xiaomi Technology.

Com.qualcomm.qti.callenhancement app in Xiaomi Mi Mix 2S(build fingerprint:Xiaomi/polaris/polaris:8.0.0/OPR1.170623.032/V9.5.19.0.ODGMIFA:user/release-keys) has access control error Vulnerabilities. An attacker could use the vulnerability to make unauthorized microphone recordings with third-party software

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CVE-2019-15471 (GCVE-0-2019-15471)

Vulnerability from cvelistv5 – Published: 2019-11-14 16:27 – Updated: 2024-08-05 00:49

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2325 records in the last 180 days details

References

1 reference

URL	Tags
https://www.kryptowire.com/android-firmware-2019/	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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          "ID": "CVE-2019-15471",
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              "value": "The Xiaomi Mi Mix 2S Android device with a build fingerprint of Xiaomi/polaris/polaris:8.0.0/OPR1.170623.032/V9.5.19.0.ODGMIFA:user/release-keys contains a pre-installed app with a package name of com.qualcomm.qti.callenhancement app (versionCode=27, versionName=8.1.0) that allows other pre-installed apps to perform microphone audio recording via an accessible app component. This capability can be accessed by any pre-installed app on the device which can obtain signatureOrSystem permissions that are required by other other pre-installed apps that export their capabilities to other pre-installed app. This app allows a third-party app to use its open interface to record telephone calls to external storage."
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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.

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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