Cyber Resilience

CVE-2026-34747

High

Published: 01 April 2026

Published
01 April 2026
Modified
13 April 2026
KEV Added
Patch
CVSS Score v3.1 8.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N
EPSS Score 0.0032 23.3th percentile
Risk Priority 55 floored blend · peak EPSS

Summary

CVE-2026-34747 is a high-severity SQL Injection (CWE-89) vulnerability in Payloadcms Payload. Its CVSS base score is 8.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 23.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and SI-2 (Flaw Remediation).

Deeper analysis

CVE-2026-34747 is a SQL injection vulnerability (CWE-89) in Payload, a free and open-source headless content management system. Prior to version 3.79.1, the software fails to properly validate certain request inputs, allowing attackers to craft malicious requests that influence SQL query execution. This could result in the exposure or modification of data within collections. The vulnerability carries a CVSS v3.1 base score of 8.5 (AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N), indicating high severity due to its network accessibility, low complexity, and cross-scope impact.

An authenticated attacker with low privileges (PR:L) can exploit this vulnerability remotely over the network without user interaction. By sending specially crafted requests, they can manipulate SQL queries to achieve high confidentiality impact, such as extracting sensitive data from collections, and low integrity impact, such as limited data modification. The high scope (S:C) amplifies the risk, as exploitation affects not only the vulnerable component but also related system resources.

The issue has been addressed in Payload version 3.79.1, where input validation was strengthened to prevent SQL injection. Security practitioners should upgrade to this version or later. Official details are available in the Payload release notes at https://github.com/payloadcms/payload/releases/tag/v3.79.1 and the GitHub security advisory at https://github.com/payloadcms/payload/security/advisories/GHSA-7xxh-373w-35vg.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability details

Payload is a free and open source headless content management system. Prior to version 3.79.1, certain request inputs were not properly validated. An attacker could craft requests that influence SQL query execution, potentially exposing or modifying data in collections. This…

more

issue has been patched in version 3.79.1.

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?

SQL injection in a network-accessible headless CMS directly maps to exploitation of public-facing applications, enabling remote authenticated attackers to manipulate database queries for data exposure or modification.

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

CVEs Like This One

CVE-2026-25544Same product: Payloadcms Payload
CVE-2026-34751Same product: Payloadcms Payload
CVE-2026-34746Same product: Payloadcms Payload
CVE-2026-34748Same product: Payloadcms Payload
CVE-2026-24956Shared CWE-89
CVE-2026-33615Shared CWE-89
CVE-2025-28939Shared CWE-89
CVE-2021-47872Shared CWE-89
CVE-2025-28873Shared CWE-89
CVE-2019-25636Shared CWE-89

Affected Assets

payloadcms
payload
≤ 3.79.1

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly addresses the CVE by requiring validation of request inputs to prevent SQL injection attacks that influence query execution.

prevent

Ensures timely identification, reporting, and remediation of the SQL injection flaw via patching to version 3.79.1 or later.

prevent

Restricts request inputs to block malicious payloads that could be used to manipulate SQL queries in Payload CMS.

References