Cyber Resilience

CVE-2026-5140

Published
29 April 2026
Modified
06 June 2026
CVSS Score v3.1 8.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS Score 0.0048 39th percentile
Risk Priority 64 floored blend · peak EPSS

Summary

CVE-2026-5140 is a high-severity CRLF Injection (CWE-93) vulnerability in Gov (inferred from references). Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Content Injection (T1659); ranked at the 39th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

CVE-2026-5140 is an improper neutralization of CRLF sequences, known as a CRLF injection vulnerability, in Pardus software developed by TUBITAK BILGEM Software Technologies Research Institute. This flaw enables authentication bypass and affects Pardus versions from <=0.6.4 before 0.8.0. The vulnerability is classified under CWE-93 and carries a CVSS v3.1 base score of 8.8 (AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H), indicating high severity due to its potential for significant confidentiality, integrity, and availability impacts.

A remote, unauthenticated attacker can exploit this vulnerability over the network with low complexity, though it requires user interaction to succeed. By injecting CRLF sequences, the attacker can bypass authentication mechanisms, potentially gaining unauthorized access to the affected system. Successful exploitation could lead to high-impact outcomes, including data exposure, modification of system resources, and disruption of services.

The advisory from USOM (https://www.usom.gov.tr/bildirim/tr-26-0131) provides details on this vulnerability, including recommended mitigations such as upgrading to Pardus version 0.8.0 or later. Security practitioners should consult this reference for patch information and additional guidance.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Improper neutralization of CRLF sequences ('CRLF injection') vulnerability in TUBITAK BILGEM Software Technologies Research Institute Pardus Update allows Authentication Bypass. This issue affects Pardus Update: from 0.6.3 before 0.6.4.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1659 Content Injection Initial Access
Adversaries may gain access and continuously communicate with victims by injecting malicious content into systems through online network traffic.
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-49130Shared CWE-93
CVE-2025-6175Shared CWE-93
CVE-2026-43968Shared CWE-93
CVE-2026-44092Shared CWE-93
CVE-2026-12357Shared CWE-93
CVE-2026-39394Shared CWE-93
CVE-2026-35601Shared CWE-93
CVE-2025-41376Shared CWE-93
CVE-2026-33128Shared CWE-93
CVE-2026-21428Shared CWE-93

Affected Assets

Gov
inferred from references and description; NVD did not file a CPE for this CVE

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V4.2.4

Mitigating Controls (NIST 800-53 r5) AI

Input validation directly stops untrusted data containing CRLF sequences from reaching the component that treats CRLF as a delimiter.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require input neutralization and validation to block CRLF injection.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

finds

Security testing can detect CRLF flaws but does not itself implement the neutralization.

prevents

Secure development lifecycle mandates input validation and output encoding that directly prevents CRLF injection.

prevents

Application security requirements include rules for neutralizing special characters such as CRLF in inputs.

prevents

Secure architecture principles encourage safe handling of untrusted data but do not prescribe specific CRLF controls.

prevents

Secure coding standards explicitly require neutralization of CRLF sequences, fully addressing this weakness.

References