Cyber Resilience

CVE-2026-24242

SSRF in Nvidia Nemo Megatron Bridge ≤ 0.4.1

SSRF
Published
01 July 2026
Modified
02 July 2026
Patch / advisory
View advisory
CVSS Score v3.1 7.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS Score 0.0015 5th percentile
Risk Priority 55 floored blend · peak EPSS

Summary

CVE-2026-24242 is a high-severity SSRF (CWE-918) vulnerability in Nvidia Nemo Megatron Bridge. Its CVSS base score is 7.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 5th 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 SC-7 (Boundary Protection) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

A01:2025 Broken Access Control

EU & UK References

Vulnerability Data

NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause server-side request forgery. A successful exploit of this vulnerability might lead to information disclosure.

CWE(s)
CWE-918

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

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.
attack.mitre.org →
Why these techniques?

SSRF in a public-facing NVIDIA service directly enables exploitation of the application for initial access and information disclosure.

Confidence: HIGH · MITRE ATT&CK Enterprise v19.0

CVEs Like This One

CVE-2026-24231Same vendor: Nvidia
CVE-2026-7754Same product: Linux Linux Kernel
CVE-2026-9006Same product: Linux Linux Kernel
CVE-2026-48290Same product: Linux Linux Kernel
CVE-2023-0208Same product: Linux Linux Kernel
CVE-2024-0087Same product: Linux Linux Kernel
CVE-2023-0189Same product: Linux Linux Kernel
CVE-2024-0100Same product: Linux Linux Kernel
CVE-2025-36085Same product: Linux Linux Kernel
CVE-2024-55910Same product: Linux Linux Kernel

Affected Assets

nvidia
nemo megatron bridge
≤ 0.4.1

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)
  • SI-10 Information Input Validation
  • SC-7 Boundary Protection
  • AC-4 Information Flow Enforcement
Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V1.3.6
  • V1.5.3
  • V5.3.2
  • V10.4.7

Mitigating Controls (NIST 800-53 r5) AI

SI-10 Information Input Validation good match
prevent

Directly blocks SSRF by validating URL and request inputs before the server performs outbound fetches.

SC-7 Boundary Protection good match
prevent

Boundary-protection rules can deny or proxy the unauthorized outbound connections that SSRF relies on.

AC-4 Information Flow Enforcement partial match
prevent

Enforces information-flow policies that prevent the server from reaching internal or sensitive resources via forged requests.

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 development practices directly include input validation and destination allow-listing that prevent SSRF.

DE.CM-09 partial match
prevents

Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.

ID.RA-01 partial match
prevents

Vulnerability identification processes can discover and record SSRF flaws in web applications.

PR.IR-01 partial match
prevents

Network segmentation and egress controls can limit the damage from successful SSRF requests.

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.

A.5.7 Threat intelligence partial match
prevents

Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.

References