Vulnary
← back to the feed
Critical· 9.9

CVE-2026-9135

A code injection vulnerability exists in the Policies component's ToolGuard integration within IBM Langflow. It allows attackers to bypass security controls by embedding malicious Python code into unvalidated dynamic fields.

publishedJul 17, 2026
last modifiedJul 23, 2026
sourcesNVD
severity · cvss
9.9
critical · how bad it is
exploitation · epss
<1%
37th percentile · chance of exploitation in 30 days
(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →
auto-deletes from the system
counting…on Sep 1, 2026

No official fix yet. If none appears within 45 days of first tracking, this entry is removed automatically.

01

Who is affected

Users of IBM Langflow OSS versions 1.0.0 through 1.10.0, specifically those using versions up to 1.9.2 (commit 94981c443d4918517b9e8163d70fc598dc33a32d).

02

Real-world impact

An attacker can execute arbitrary Python code on the server. This can be achieved by injecting malicious code into a victim's flow, potentially allowing for cross-tenant data manipulation or full system compromise.

03

Why this severity

The critical score reflects that an attacker can achieve full control over the server (high impact on confidentiality, integrity, and availability) via a network-based attack with low complexity.

04

What to do about it

no official fix yet

No official fix or mitigation is documented in the sources yet. Monitor the vendor advisory and apply the patch as soon as it is released.

NVD description

05

Timeline

  1. Jul 17, 2026 · 16d ago
    Published
    Disclosed and added to the National Vulnerability Database.
  2. Jul 23, 2026 · 10d ago
    Advisory updated
    The NVD record was last revised.
06

How it’s attacked

Attack vectorNetwork (remote)
Attack complexityLow
Privileges requiredLow
User interactionNone needed
ScopeChanged
Confidentiality impactHigh
Integrity impactHigh
Availability impactHigh
07

References & advisories

(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →