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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 sequence 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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