Cyber Resilience

CVE-2026-48316

Adobe Coldfusion 2023 … 2025

Published
06 July 2026
Modified
09 July 2026
Patch / advisory
CVSS Score v3.1 10.0
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:N
EPSS Score 0.016 73th percentile
Risk Priority 70 floored blend · peak EPSS

Summary

CVE-2026-48316 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Adobe Coldfusion. Its CVSS base score is 10.0 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 27% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and SI-2 (Flaw Remediation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

ColdFusion versions 2025.9, 2023.20 and earlier are affected by an Improper Input Validation vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue does not require user interaction. Scope is changed.

CWE(s)

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.
Why these techniques?

Improper input validation (CWE-20) enables remote arbitrary code execution on public-facing ColdFusion without user interaction (CVSS 10.0, scope changed).

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

CVEs Like This One

CVE-2026-47928Same product: Adobe Coldfusion
CVE-2026-27282Same product: Adobe Coldfusion
CVE-2026-48284Same product: Adobe Coldfusion
CVE-2026-47931Same product: Adobe Coldfusion
CVE-2026-48277Same product: Adobe Coldfusion
CVE-2026-27304Same product: Adobe Coldfusion
CVE-2025-61809Same product: Adobe Coldfusion
CVE-2026-48281Same product: Adobe Coldfusion
CVE-2026-47930Same product: Adobe Coldfusion
CVE-2025-61822Same product: Adobe Coldfusion

Affected Assets

adobe
coldfusion
2023, 2025

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)
  • SI-10 Information Input Validation
  • SI-2 Flaw Remediation
  • CM-7 Least Functionality
Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)
  • 6 hardening rules · 3 OS baselines
Validate
Prove the fix (OWASP ASVS)

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly requires validation of all inputs to the ColdFusion application, blocking the malformed data that triggers arbitrary code execution.

prevent

Mandates prompt application of vendor patches that remediate the improper-input-validation flaw in the listed ColdFusion versions.

prevent

Restricts enabled ColdFusion features and interpreters to the minimum needed, reducing the attack surface available for code-execution payloads.

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 and enforce input validation during development.

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.

detects

Testing against a defined set of requirements and using code review plus vulnerability scanning forces validation of inputs and handling of unanticipated conditions, reducing the chance that malformed data will be accepted.

prevents

Secure-coding guidelines and mandatory security testing (including code scans) compel developers to validate and sanitize inputs at design and implementation time, lowering the incidence of malformed or malicious data reaching downstream components.

prevents

Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.

prevents

Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.

prevents

Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.

none

Regular automated validation of system software and data content, combined with scanning of all inbound files, enforces input validation at the boundary before untrusted content is processed.

References