Insecure generation of random numbers
Description
The system uses insecure functions, insufficient ranges or low-entropy components to generate random numbers. This could allow an attacker to guess the generation sequence after a short time or predict results using probabilistic methods.
Impact
Predict the secuence of random numbers to create new attack vectors.
Recommendation
Use the most secure mechanisms offered by language to generate random numbers.
Threat
Authenticated attacker from the Internet.
Expected Remediation Time
⌚ 15 minutes.
Score
Default score using CVSS 3.1. It may change depending on the context of the src.
Base
- Attack vector: N
- Attack complexity: H
- Privileges required: L
- User interaction: N
- Scope: U
- Confidentiality: L
- Integrity: N
- Availability: N
Temporal
- Exploit code maturity: P
- Remediation level: O
- Report confidence: C
Result
- Vector string: CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N/E:P/RL:O/RC:C
- Score:
- Base: 3.1
- Temporal: 2.8
- Severity:
- Base: Low
- Temporal: Low
Score 4.0
Default score using CVSS 4.0 . It may change depending on the context of the src.
Base 4.0
- Attack vector: N
- Attack complexity: H
- Attack Requirements: N
- Privileges required: L
- User interaction: N
- Confidentiality (VC): L
- Integrity (VI): N
- Availability (VA): N
- Confidentiality (SC): L
- Integrity (SI): N
- Availability (SA): N
Threat 4.0
- Exploit maturity: P
Result 4.0
- Vector string: CVSS:4.0/AV:N/AC:H/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:L/SI:N/SA:N/E:P
- Score:
- CVSS-BT: 1.3
- Severity:
- CVSS-BT: Low
Requirements
Fixes
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