CWE · MITRE source
CWE-1241Use of Predictable Algorithm in Random Number Generator
The device uses an algorithm that is predictable and generates a pseudo-random number.
Pseudo-random number generator algorithms are predictable because their registers have a finite number of possible states, which eventually lead to repeating patterns. As a result, pseudo-random number generators (PRNGs) can compromise their randomness or expose their internal state to various attacks, such as reverse engineering or tampering.
Last updated: 21 August 2026 20:21 UTC
Cumulative inbound coverage
How completely the frameworks we cross-walk collectively cover this — the verdict is the strongest single mapping (overlapping partials are not summed); breadth shows the corroboration behind it.
Collective: mostly · 5 mapping(s) from 3 framework(s): STIG oracle linux 8 2 (mostly) · STIG rhel 8 2 (mostly) · CAPEC 1 (partial)
OWASP Top 10 for Web (2025)
This weakness contributes to A04:2025 Cryptographic Failures.
Control responseHuman-reviewed
Answering this weakness across the control lifecycle, from our framework cross-walks.
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- 5 hardening rules · 2 OS baselines
V6.5.3V7.2.3V11.5.1V11.5.2
NIST 800-53 r5 controls that address this weakness (0)AI-assisted
| Control | Title | Family | Why it addresses this CWE |
|---|---|---|---|
| No NIST controls proposed yet. | |||
Top CVEs of this weakness type, ranked by Risk Priority
| CVE | Risk | CVSS | EPSS | Published |
|---|---|---|---|---|
CVE-2016-10180 UPD | 6.4 | 7.5 | 0.0441 | 2017-01-30 |
CVE-2021-3689 UPD | 6.2 | 7.5 | 0.0190 | 2021-08-10 |
CVE-2023-4695 UPD | 6.2 | 8.1 | 0.0060 | 2023-09-01 |
CVE-2026-26018 UPD | 6.1 | 7.5 | 0.0112 | 2026-03-06 |
CVE-2021-3692 UPD | 4.8 | 5.3 | 0.0170 | 2021-08-10 |
CVE-2026-6420 UPD | 4.6 | 6.3 | 0.0012 | 2026-05-06 |
CVE-2026-73576 UPD | 4.5 | 6.3 | 0.0019 | 2026-08-13 |
CVE-2025-13079 UPD | 4.4 | 5.3 | 0.0037 | 2026-02-19 |
CVE-2025-32056 UPD | 3.2 | 4.0 | 0.0028 | 2026-01-22 |