Cyber Resilience

CVE-2024-32838

SQLi in Apache Fineract 1.4.0 – 1.10.1

Published
12 February 2025
Modified
04 March 2025
Patch / advisory
CVSS Score v4 9.4
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.015 71th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2024-32838 is a critical-severity SQL Injection (CWE-89) vulnerability in Apache Fineract. Its CVSS base score is 9.4 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 29% of CVEs by exploit likelihood; 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-2024-32838 is a SQL injection vulnerability (CWE-89) affecting Apache Fineract versions 1.9 and earlier. The flaw exists in various REST API endpoints, including those for offices, dashboards, and others, where query parameters fail to properly sanitize input, allowing injection of malicious data. Published on 2025-02-12, it has 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 impact.

An authenticated attacker with low privileges (PR:L) can exploit this vulnerability over the network with low complexity and no user interaction required. Successful exploitation enables arbitrary SQL query manipulation, potentially leading to high confidentiality, integrity, and availability impacts, such as data exfiltration, modification, or denial of service on the underlying database.

The Apache security advisory recommends upgrading to Apache Fineract version 1.10.1, which addresses the issue by implementing a SQL Validator. This validator applies configurable tests and checks to SQL queries, protecting against nearly all potential SQL injection attacks. Additional details are available in the official Apache mailing list announcement and OSS-Security posting.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

SQL Injection vulnerability in various API endpoints - offices, dashboards, etc. Apache Fineract versions 1.9 and before have a vulnerability that allows an authenticated attacker to inject malicious data into some of the REST API endpoints' query parameter. Users are…

more

recommended to upgrade to version 1.10.1, which fixes this issue. A SQL Validator has been implemented which allows us to configure a series of tests and checks against our SQL queries that will allow us to validate and protect against nearly all potential SQL injection attacks.

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-2023-25196Same product: Apache Fineract
CVE-2023-25197Same product: Apache Fineract
CVE-2024-23539Same product: Apache Fineract
CVE-2024-23538Same product: Apache Fineract
CVE-2023-37924Same vendor: Apache
CVE-2023-52290Same vendor: Apache
CVE-2016-0710Same vendor: Apache
CVE-2024-42361Same vendor: Apache
CVE-2023-30867Same vendor: Apache
CVE-2024-24772Same vendor: Apache

Affected Assets

apache
fineract
1.4.0 — 1.10.1

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