Skip to main content
Vulnerability Database/CVE-2026-18180

CVE-2026-18180: IBM FTM SQL Injection Vulnerability

CVE-2026-18180 is a SQL injection vulnerability in IBM Financial Transaction Manager for RedHat OpenShift that enables authenticated attackers to extract sensitive data. This article covers technical details, security impact, and remediation.

Published:

CVE-2026-18180 Overview

CVE-2026-18180 affects IBM Financial Transaction Manager (FTM) for RedHat OpenShift. The vulnerability allows a remote authenticated attacker to obtain sensitive information through SQL injection [CWE-89]. An attacker with valid credentials can craft malicious SQL statements that the application passes to the backend database. Successful exploitation exposes confidential data stored within the FTM environment, including transaction records and configuration details.

The issue is network-exploitable and requires low attack complexity. It requires low-privilege authentication but no user interaction. IBM has published a support advisory acknowledging the flaw.

Critical Impact

A remote authenticated attacker can extract sensitive information from the underlying database by injecting SQL statements through IBM Financial Transaction Manager for RedHat OpenShift.

Affected Products

  • IBM Financial Transaction Manager (FTM) for RedHat OpenShift

Discovery Timeline

  • 2026-09-23 - CVE-2026-18180 published to NVD
  • 2026-09-23 - Last updated in NVD database

Technical Details for CVE-2026-18180

Vulnerability Analysis

The vulnerability is a SQL injection flaw classified under [CWE-89] Improper Neutralization of Special Elements used in an SQL Command. IBM Financial Transaction Manager for RedHat OpenShift accepts input from authenticated users and incorporates that input into SQL queries without adequate sanitization or parameterization. The affected code paths pass attacker-controlled strings directly into query construction routines.

The impact scope is confined to confidentiality. The CVSS vector indicates no integrity or availability impact, meaning the attacker can read database contents but cannot modify or destroy data through this specific weakness. Financial transaction platforms typically hold payment instructions, account identifiers, and routing details, so data exposure carries meaningful downstream risk.

Root Cause

The root cause is missing input validation and unsafe query construction within FTM request handlers. When the application builds SQL statements using concatenated strings rather than prepared statements or parameterized queries, attacker-supplied input is interpreted as SQL syntax. This allows the attacker to alter query logic and retrieve data outside the intended result set.

Attack Vector

The attack vector is network-based and requires a valid authenticated session on the FTM application. An attacker submits crafted parameters through an FTM interface that reaches a vulnerable query. The injected payload manipulates the underlying query using techniques such as UNION-based extraction, boolean-based inference, or error-based disclosure. The database returns data the attacker is not authorized to access, and FTM relays it back through the application response.

No public proof-of-concept exploit is currently available. IBM's support page provides remediation guidance. Refer to the IBM Support Page for vendor details.

Detection Methods for CVE-2026-18180

Indicators of Compromise

  • Application or database logs containing SQL metacharacters, UNION statements, or comment sequences such as -- and /* in user-supplied parameters.
  • Authenticated sessions issuing an unusually high volume of requests with variations on the same parameter values.
  • Database query errors returned to authenticated users, indicating malformed input reaching the SQL parser.

Detection Strategies

  • Enable verbose query logging on the FTM database and correlate query patterns with authenticated user sessions.
  • Deploy a web application firewall (WAF) with SQL injection signatures in front of FTM endpoints exposed on OpenShift routes.
  • Review FTM audit trails for authenticated actions that access data outside the user's normal operational scope.

Monitoring Recommendations

  • Forward FTM application logs, OpenShift ingress logs, and database audit logs to a centralized analytics platform for correlation.
  • Alert on anomalous query lengths, repeated database errors, and spikes in row-count returns per authenticated session.
  • Track privileged and service account activity within FTM to identify credential misuse feeding injection attempts.

How to Mitigate CVE-2026-18180

Immediate Actions Required

  • Apply the fix documented on the IBM Support Page as soon as it is available in your maintenance window.
  • Audit FTM accounts and revoke unused or over-privileged credentials to reduce the pool of accounts that can reach the vulnerable code path.
  • Rotate credentials for any accounts suspected of exposure during log review.

Patch Information

IBM has published remediation guidance for CVE-2026-18180 on its support portal. Consult the IBM Support Page for the fixed version, download instructions, and applicability to your FTM for RedHat OpenShift deployment.

Workarounds

  • Restrict network access to FTM interfaces using OpenShift NetworkPolicy objects, limiting reachability to trusted client ranges only.
  • Enforce least-privilege database roles so the FTM service account cannot read tables beyond those required for its function.
  • Deploy WAF rules that block common SQL injection payloads on ingress routes serving FTM until the patch is applied.
bash
# Example OpenShift NetworkPolicy restricting ingress to FTM pods
oc apply -f - <<EOF
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: ftm-restrict-ingress
  namespace: ftm
spec:
  podSelector:
    matchLabels:
      app: ftm
  ingress:
    - from:
        - namespaceSelector:
            matchLabels:
              trusted: "true"
  policyTypes:
    - Ingress
EOF

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.