CVE-2018-12271 (GCVE-0-2018-12271)
Vulnerability from cvelistv5 – Published: 2018-06-13 23:00 – Updated: 2024-08-05 08:30 Disputed
VLAI
EPSS
VEX
Summary
An issue was discovered in the com.getdropbox.Dropbox app 100.2 for iOS. The LAContext class for Biometric (TouchID) validation allows authentication bypass by overriding the LAContext return Boolean value to be "true" because the kSecAccessControlUserPresence protection mechanism is not used. In other words, an attacker could authenticate with an arbitrary fingerprint. NOTE: the vendor indicates that this is not an attack of interest within the context of their threat model, which excludes iOS devices on which a jailbreak has occurred
Severity
No CVSS data available.
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-06-18 19:30 UTC
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://www.dropbox.com/s/n880ob3gtvfwryu/2018060… | x_refsource_MISC |
| https://hackerone.com/reports/363544 | x_refsource_MISC |
| https://gist.github.com/tanprathan/6e8ed195a2e05b… | x_refsource_MISC |
Date Public
2018-06-13 00:00
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Sightings
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Nomenclature
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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
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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.
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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.