Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:NSummary
CVE-2026-29081 is a medium-severity SQL Injection (CWE-89) vulnerability in Frappe Frappe. Its CVSS base score is 6.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 20th 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 SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-29081 is a SQL injection vulnerability (CWE-89) affecting the Frappe full-stack web application framework. Prior to versions 14.100.1 and 15.100.0, a specific endpoint is vulnerable to injection through specially crafted requests, allowing attackers to extract sensitive information from the database. The vulnerability carries a CVSS v3.1 base score of 6.5 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N), indicating network accessibility, low attack complexity, and high confidentiality impact.
The attack scenario requires low privileges (PR:L), enabling exploitation by authenticated users with minimal access rights. Attackers can remotely send crafted HTTP requests to the vulnerable endpoint without requiring user interaction, resulting in unauthorized extraction of sensitive data such as user records or configuration details, while leaving integrity and availability unaffected.
Frappe has patched the vulnerability in versions 14.100.1 and 15.100.0. Security practitioners should upgrade to these versions for mitigation. Additional details are available in the GitHub security advisory at https://github.com/frappe/frappe/security/advisories/GHSA-w3g7-m7xr-2w38.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-9883
Vulnerability Data
Frappe is a full-stack web application framework. Prior to versions 14.100.1 and 15.100.0, an endpoint was vulnerable to SQL injection through specially crafted requests, which would allow a malicious actor to extract sensitive information. This issue has been patched in…
more
versions 14.100.1 and 15.100.0.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V6.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.
Input validation directly stops untrusted data from reaching SQL query construction without neutralization.
Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.
System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.
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.
Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
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.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.
Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.
Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.
Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.