CVE-2020-9144 (GCVE-0-2020-9144)
Vulnerability from cvelistv5 – Published: 2021-01-13 18:53 – Updated: 2024-08-04 10:19
VLAI
EPSS
VEX
Summary
There is a heap overflow vulnerability in some Huawei smartphone, attackers can exploit this vulnerability to cause heap overflows due to improper restriction of operations within the bounds of a memory buffer.
Severity
9.8 (Critical)
CWE
- Improper Restriction of Operations within the Bounds of a Memory Buffer
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://consumer.huawei.com/en/support/bulletin/2… | x_refsource_CONFIRM |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | EMUI |
Affected:
EMUI 11.0.0
Affected: EMUI 10.1.1 Affected: EMUI 10.1.0 Affected: EMUI 10.0.0 Affected: EMUI 9.1.1 Affected: EMUI 9.1.0 |
||
| n/a | Magic UI |
Affected:
Magic UI 4.0.0
Affected: Magic UI 3.1.1 Affected: Magic UI 3.1.0 Affected: Magic UI 3.0.0 Affected: Magic UI 2.1.1 |
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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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