Information disclosure and settings modification via predictable randomness
Published Oct 11, 2022 · Updated May 20, 2025
Weak randomness in the SAP Customer Data Cloud Gigya mobile app 7.4 allows physically proximate attackers to disclose information. The Android app's random-number generator produces predictable values; SAP has not published the affected function or how those values protect data. Physical proximity is required, and successful prediction exposes information and permits modification of certain user settings without interrupting service.
Summary
What happened
Weak randomness in the SAP Customer Data Cloud Gigya mobile app 7.4 allows physically proximate attackers to disclose information. The Android app's random-number generator produces predictable values; SAP has not published the affected function or how those values protect data. Physical proximity is required, and successful prediction exposes information and permits modification of certain user settings without interrupting service.
The record
- CVE
- CVE-2022-41210
- Published
- Oct 11, 2022
- Updated
- May 20, 2025
- Vendor
- SAP SE
- Product
- SAP Customer Data Cloud
- Classifications
- CWE-338
- Attack vector
- physical
- Privileges
- unauthenticated
Timeline
How it unfolded
- Oct 11, 2022CVE publishedPublication date reported by the CVE source.
- May 20, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
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- Affected versionversion=7.4
What conditions does exploitation require?
What is affected?
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
No public exploit references are available in this record.
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Technologies
Your stack
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Your stack
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