Cyber Resilience

CVE-2026-31895

SQLi in Wegia ≤ 3.6.6

Public PoCSQLi
Published
11 March 2026
Modified
13 March 2026
Patch / advisory
CVSS Score v3.1 8.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0039 32th percentile
Risk Priority 64 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2026-31895 is a high-severity SQL Injection (CWE-89) vulnerability in Wegia Wegia. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 32th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

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-2026-31895 is a SQL injection vulnerability affecting WeGIA, an open-source web management system for charitable institutions, in versions prior to 3.6.6. The flaw resides in the file html/matPat/restaurar_produto.php, where the id_produto parameter from the $_GET superglobal is directly interpolated into SQL queries without parameterization or sanitization, enabling classic SQL injection attacks. This issue is classified under CWE-89 and carries a CVSS v3.1 base score of 8.8 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H), indicating high severity due to its potential for significant data compromise.

An attacker with low-privilege authenticated access (PR:L) can exploit this vulnerability over the network (AV:N) with low complexity (AC:L) and no user interaction required (UI:N). Successful exploitation allows arbitrary SQL query manipulation, potentially leading to high-impact confidentiality violations such as data exfiltration, integrity violations like unauthorized data modification or deletion, and availability disruptions such as denial of service through database corruption.

The GitHub Security Advisory (GHSA-m39r-p62f-vmqm) from the WeGIA repository confirms the vulnerability and states that it is fully remediated in version 3.6.6, recommending immediate upgrades for affected installations. Practitioners should verify deployments, apply the patch, and audit similar parameter handling in PHP applications to prevent recurrence.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

WeGIA is a web manager for charitable institutions. Prior to version 3.6.6, WeGIA (Web gerenciador para instituições assistenciais) contains a SQL injection vulnerability in html/matPat/restaurar_produto.php. The id_produto parameter from $_GET is directly interpolated into SQL queries without parameterization or sanitization.…

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This vulnerability is fixed in 3.6.6.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

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.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-4741Shared CWE-89
CVE-2023-23775Shared CWE-89
CVE-2023-2773Shared CWE-89
CVE-2023-36284Shared CWE-89
CVE-2024-10730Shared CWE-89
CVE-2021-40493Shared CWE-89
CVE-2024-2669Shared CWE-89
CVE-2023-25047Shared CWE-89
CVE-2023-0256Shared CWE-89
CVE-2024-3253Shared CWE-89

Affected Assets

wegia
wegia
≤ 3.6.6

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • 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.

PR.PS-06 mostly match
prevents

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.

PR.AT-02 partial match
prevents

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.

finds

The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.

prevents

Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.

prevents

Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.

prevents

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.

prevents

Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.

References