Customer Data CloudApplication · Sap

CVE-2022-41210

MEDIUM · 5.2 CVSS v3.1 Published 2022-10-11
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
57/100
Remediation priority · Elevated
No privileges Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
SAP Customer Data Cloud (Gigya mobile app for Android) - version 7.4, uses insecure random number generator program which makes it easy for the attacker to predict future random numbers. This can lead to information disclosure and modification of certain user settings.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · moderate confidence

SAP Customer Data Cloud (Gigya mobile app for Android) version 7.4 uses an insecure random number generator, allowing attackers to predict future random numbers. This cryptographic weakness enables information disclosure and unauthorized modification of certain user settings.

MitigationReplace the insecure random number generator with a cryptographically secure alternative (e.g., java.security.SecureRandom) and validate the fix through security testing.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
Customer Data CloudApplication
Affected:= 7.4

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Physical
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
Low
Availability
None

CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify if SAP Customer Data Cloud (Gigya) Android app is in use
    Review deployed mobile applications or device management software to confirm the Gigya mobile SDK/app is installed on Android devices in your environment
    Affected if The Gigya mobile app for Android is deployed and actively used
  2. Check installed version of the Gigya Android app
    On Android devices, go to Settings > Apps > Gigya (or SAP Customer Data Cloud) and view the version information, or query via ADB: adb shell dumpsys package com.gigya.android.app
    Affected if Version shows 7.4 exactly
  3. Confirm the vulnerable random number generator is in use
    Review app binary or source code for use of java.util.Random instead of java.security.SecureRandom for cryptographic operations such as session tokens, user identifiers, or authentication flows
    Affected if Code uses java.util.Random or similar insecure generator for security-sensitive random values
  4. Check if sensitive operations rely on random number generation
    Identify whether the app uses random numbers for user settings modification, authentication tokens, or data encryption that could be intercepted or predicted
    Affected if App generates tokens, IDs, or settings values that depend on predictable random numbers

Your environment is affected if SAP Customer Data Cloud (Gigya) Android app version 7.4 is deployed and uses the insecure random number generator for sensitive operations.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Replace the insecure random number generator with a cryptographically secure alternative (e.g., java.security.SecureRandom) and validate the fix through security testing.

Fix this in Customer Data Cloud Scoped from the published advisory
  • Consultation3.0 h
  • Implementation8.0 h
  • Testing4.0 h
  • Review / QA2.0 h
17.0 hours of engineering $3,000
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Scan for this in your stack

Free · runs locally
dbcve dependency scanner

Check whether your project pulls in CVE-2022-41210 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.

References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2022-41210 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data