Improper output handling

Description

The application does not properly validate, sanitize, or contextualize LLM outputs used before they are passed downstream to other components and systems.

Impact

The consequences are entirely contextual, depending on the system that the model is integrated into. Successful exploitation can result in XSS, CSRF, or SSRF privilege escalation, or remote code execution on backend systems.

Recommendation

- Sanitize LLM output before integrating it into other systems.
- Audit interactions (logs).

Threat

Authenticated attacker from the Internet.

Expected Remediation Time

⌚ 60 minutes.

Score

Default score using CVSS 3.1. It may change depending on the context of the src.

Base

Attack vector: N
Attack complexity: L
Privileges required: L
User interaction: N
Scope: U
Confidentiality: N
Integrity: L
Availability: N

Temporal

Exploit code maturity: U
Remediation level: O
Report confidence: C

Result

Vector string: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N/E:U/RL:O/RC:C
Score:

Base: 4.3
Temporal: 3.8

Severity:

Base: Medium
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: L
Attack Requirements: N
Privileges required: L
User interaction: N
Confidentiality (VC): N
Integrity (VI): L
Availability (VA): N
Confidentiality (SC): N
Integrity (SI): N
Availability (SA): N

Threat 4.0

Exploit maturity: U

Result 4.0

Vector string: CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:U
Score:

CVSS-BT: 1.3

Severity:

CVSS-BT: Low

Compliant code

Non compliant code

Requirements

Fixes

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