VAR-201306-0345
Vulnerability from variot - Updated: 2025-04-11 22:11The WifiPasswordController generateDefaultPassword method in Preferences in Apple iOS 6 and earlier relies on the UITextChecker suggestWordInLanguage method for selection of Wi-Fi hotspot WPA2 PSK passphrases, which makes it easier for remote attackers to obtain access via a brute-force attack that leverages the insufficient number of possible passphrases. Apple iOS is prone to an insecure password generation weakness due to an error in the way mobile Wi-Fi hotspot generates default WPA2 passwords. This may aid in further attacks. Apple iOS is an operating system developed by Apple (Apple) for mobile devices. There is a vulnerability in the method of generating DefaultPassword by WifiPasswordController in Preferences in Apple iOS 6 and earlier versions. The vulnerability comes from the fact that the program relies on the UITextChecker suggestWordInLanguage method to select the Wi-Fi hotspot WPA2 PSK password. A remote attacker could exploit this vulnerability through a brute force attack to gain access
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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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