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

Free trial

Search for vulnerabilities in your apps for free with Fluid Attacks' automated security testing! Start your 21-day free trial and discover the benefits of the Continuous Hacking Essential plan. If you prefer the Advanced plan, which includes the expertise of Fluid Attacks' hacking team, fill out this contact form.