CWE-330
Use of Insufficiently Random Values
The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers.
CVE-2022-46353 (GCVE-0-2022-46353)
Vulnerability from cvelistv5 – Published: 2022-12-13 00:00 – Updated: 2025-04-22 02:55- CWE-330 - Use of Insufficiently Random Values
| Vendor | Product | Version | |
|---|---|---|---|
| Siemens | SCALANCE X204RNA (HSR) |
Affected:
All versions < V3.2.7
|
|
| Siemens | SCALANCE X204RNA (PRP) |
Affected:
All versions < V3.2.7
|
|
| Siemens | SCALANCE X204RNA EEC (HSR) |
Affected:
All versions < V3.2.7
|
|
| Siemens | SCALANCE X204RNA EEC (PRP) |
Affected:
All versions < V3.2.7
|
|
| Siemens | SCALANCE X204RNA EEC (PRP/HSR) |
Affected:
All versions < V3.2.7
|
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CVE-2023-1385 (GCVE-0-2023-1385)
Vulnerability from cvelistv5 – Published: 2023-05-03 12:33 – Updated: 2025-01-30 15:00- CWE-330 - Use of Insufficiently Random Values
| Vendor | Product | Version | |
|---|---|---|---|
| Amazon | Fire TV Stick 3rd gen |
Affected:
6.2.9.4
|
|
| Insignia | TV with FireOS |
Affected:
7.6.3.2
|
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CVE-2023-20185 (GCVE-0-2023-20185)
Vulnerability from cvelistv5 – Published: 2023-07-12 13:50 – Updated: 2024-08-02 09:05- CWE-330 - Use of Insufficiently Random Values
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco NX-OS System Software in ACI Mode |
Affected:
14.0(1h)
Affected: 14.0(2c) Affected: 14.0(3d) Affected: 14.0(3c) Affected: 14.1(1i) Affected: 14.1(1j) Affected: 14.1(1k) Affected: 14.1(1l) Affected: 14.1(2g) Affected: 14.1(2m) Affected: 14.1(2o) Affected: 14.1(2s) Affected: 14.1(2u) Affected: 14.1(2w) Affected: 14.1(2x) Affected: 14.2(1i) Affected: 14.2(1j) Affected: 14.2(1l) Affected: 14.2(2e) Affected: 14.2(2f) Affected: 14.2(2g) Affected: 14.2(3j) Affected: 14.2(3l) Affected: 14.2(3n) Affected: 14.2(3q) Affected: 14.2(4i) Affected: 14.2(4k) Affected: 14.2(4o) Affected: 14.2(4p) Affected: 14.2(5k) Affected: 14.2(5l) Affected: 14.2(5n) Affected: 14.2(6d) Affected: 14.2(6g) Affected: 14.2(6h) Affected: 14.2(6l) Affected: 14.2(7f) Affected: 14.2(7l) Affected: 14.2(6o) Affected: 14.2(7q) Affected: 14.2(7r) Affected: 14.2(7s) Affected: 14.2(7t) Affected: 14.2(7u) Affected: 14.2(7v) Affected: 14.2(7w) Affected: 15.0(1k) Affected: 15.0(1l) Affected: 15.0(2e) Affected: 15.0(2h) Affected: 15.1(1h) Affected: 15.1(2e) Affected: 15.1(3e) Affected: 15.1(4c) Affected: 15.2(1g) Affected: 15.2(2e) Affected: 15.2(2f) Affected: 15.2(2g) Affected: 15.2(2h) Affected: 15.2(3e) Affected: 15.2(3f) Affected: 15.2(3g) Affected: 15.2(4d) Affected: 15.2(4e) Affected: 15.2(5c) Affected: 15.2(5d) Affected: 15.2(5e) Affected: 15.2(4f) Affected: 15.2(6e) Affected: 15.2(6g) Affected: 15.2(7f) Affected: 15.2(7g) Affected: 15.2(8d) Affected: 15.2(8e) Affected: 15.2(8f) Affected: 15.2(8g) Affected: 15.2(8h) Affected: 16.0(1g) Affected: 16.0(1j) Affected: 16.0(2h) Affected: 16.0(2j) Affected: 16.0(3d) Affected: 16.0(3e) Affected: 15.3(1d) |
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CVE-2023-22601 (GCVE-0-2023-22601)
Vulnerability from cvelistv5 – Published: 2023-01-12 22:34 – Updated: 2025-01-16 22:02- CWE-330 - Use of Insufficiently Random Values
| URL | Tags |
|---|---|
| https://www.cisa.gov/uscert/ics/advisories/icsa-2… | government-resource |
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|---|---|---|---|
| InHand Networks | InRouter 302 |
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|
| InHand Networks | InRouter 615 |
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CVE-2023-22746 (GCVE-0-2023-22746)
Vulnerability from cvelistv5 – Published: 2023-02-03 21:07 – Updated: 2025-03-10 21:16| URL | Tags |
|---|---|
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CVE-2023-2418 (GCVE-0-2023-2418)
Vulnerability from cvelistv5 – Published: 2023-04-29 00:31 – Updated: 2024-08-02 06:19- CWE-330 - Insufficiently Random Values
| URL | Tags |
|---|---|
| https://vuldb.com/?id.227715 | vdb-entrytechnical-description |
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CVE-2023-24478 (GCVE-0-2023-24478)
Vulnerability from cvelistv5 – Published: 2023-08-15 12:42 – Updated: 2024-10-01 18:24- information disclosure
- CWE-330 - Use of insufficiently random values
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|---|---|---|---|
| n/a | Intel Agilex(R) software included as part of Intel(R) Quartus(R) Prime Pro Edition for linux |
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CVE-2023-26451 (GCVE-0-2023-26451)
Vulnerability from cvelistv5 – Published: 2023-08-02 12:23 – Updated: 2024-08-02 11:53- CWE-330 - Use of Insufficiently Random Values
| Vendor | Product | Version | |
|---|---|---|---|
| OX Software GmbH | OX App Suite |
Affected:
0 , ≤ 8.11
(semver)
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CVE-2023-2884 (GCVE-0-2023-2884)
Vulnerability from cvelistv5 – Published: 2023-05-25 08:26 – Updated: 2026-05-22 10:50| URL | Tags |
|---|---|
| https://www.usom.gov.tr/bildirim/tr-23-0293 | government-resourcebroken-link |
| https://siberguvenlik.gov.tr/guvenlik-bildirimler… | government-resource |
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CVE-2023-29332 (GCVE-0-2023-29332)
Vulnerability from cvelistv5 – Published: 2023-09-12 16:58 – Updated: 2025-10-30 18:17- CWE-330 - Use of Insufficiently Random Values
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisory |
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Azure Kubernetes Service |
Affected:
1.0 , < VHD 202308
(custom)
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Mitigation
Phase: Architecture and Design
Description:
- Use a well-vetted algorithm that is currently considered to be strong by experts in the field, and select well-tested implementations with adequate length seeds.
- In general, if a pseudo-random number generator is not advertised as being cryptographically secure, then it is probably a statistical PRNG and should not be used in security-sensitive contexts.
- Pseudo-random number generators can produce predictable numbers if the generator is known and the seed can be guessed. A 256-bit seed is a good starting point for producing a "random enough" number.
Mitigation
Phase: Implementation
Description:
- Consider a PRNG that re-seeds itself as needed from high quality pseudo-random output sources, such as hardware devices.
Mitigation ID: MIT-2
Phases: Architecture and Design, Requirements
Strategy: Libraries or Frameworks
Description:
- Use products or modules that conform to FIPS 140-2 [REF-267] to avoid obvious entropy problems. Consult FIPS 140-2 Annex C ("Approved Random Number Generators").
CAPEC-112: Brute Force
In this attack, some asset (information, functionality, identity, etc.) is protected by a finite secret value. The attacker attempts to gain access to this asset by using trial-and-error to exhaustively explore all the possible secret values in the hope of finding the secret (or a value that is functionally equivalent) that will unlock the asset.
CAPEC-485: Signature Spoofing by Key Recreation
An attacker obtains an authoritative or reputable signer's private signature key by exploiting a cryptographic weakness in the signature algorithm or pseudorandom number generation and then uses this key to forge signatures from the original signer to mislead a victim into performing actions that benefit the attacker.
CAPEC-59: Session Credential Falsification through Prediction
This attack targets predictable session ID in order to gain privileges. The attacker can predict the session ID used during a transaction to perform spoofing and session hijacking.