VAR-201803-0195
Vulnerability from variot - Updated: 2024-11-23 22:38Some Huawei Smartphones with software of VNS-L21AUTC555B141, VNS-L21C10B160, VNS-L21C66B160, VNS-L21C703B140 have an array out-of-bounds read vulnerability. Due to the lack verification of array, an attacker tricks a user into installing a malicious application, and the application can exploit the vulnerability and make attacker to read out of bounds of array and possibly cause the device abnormal. Huawei Smartphone software contains a vulnerability related to out-of-bounds reading.Service operation interruption (DoS) There is a possibility of being put into a state. HuaweiVNS-L21 is a smartphone from China's Huawei company. This vulnerability is caused by the device failing to perform correct boundary check on the array. Huawei VNS-L21 is a smart phone product of China Huawei (Huawei). The following versions are affected: Huawei VNS-L21 VNS-L21AUTC555B141 version, VNS-L21C10B160 version, VNS-L21C66B160 version, VNS-L21C703B140 version
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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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