CVE-2025-15442
SQLi in Crmeb ≤ 5.6.1
Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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:XSummary
CVE-2025-15442 is a medium-severity Injection (CWE-74) vulnerability in Crmeb Crmeb. Its CVSS base score is 5.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 26th 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-2025-15442 is a SQL injection vulnerability affecting CRMEB versions up to 5.6.1. The issue resides in unknown code within the /adminapi/export/product_list file, where manipulation of the cate_id argument triggers the injection. Classified under CWE-74 (Improper Neutralization of Special Elements used in an SQL Command) and CWE-89 (SQL Injection), it carries a CVSS v3.1 base score of 4.7 (AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:L).
The vulnerability enables remote exploitation by attackers who possess high privileges, such as administrative access to the affected endpoint. Successful exploitation allows limited impacts: low-level confidentiality breaches (e.g., partial data exposure), integrity alterations (e.g., minor data modification), and availability disruptions (e.g., slight service degradation) via injected SQL payloads.
Advisories from VulDB (ctiid.339464, id.339464) and a GitHub repository (En0t5/vul) detail the issue, including a publicly disclosed proof-of-concept at the POC section of the CRMEB export product_list SQL markdown file. The vendor was contacted early regarding disclosure but provided no response, and no patches or official mitigations are mentioned in the available references. Security practitioners should monitor for updates and implement input sanitization or access controls on the cate_id parameter as interim measures. The exploit is publicly available and may be utilized in attacks.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-0776
Vulnerability Data
A vulnerability was determined in CRMEB up to 5.6.1. This vulnerability affects unknown code of the file /adminapi/export/product_list. This manipulation of the argument cate_id causes sql injection. The attack may be initiated remotely. The exploit has been publicly disclosed and…
more
may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
V1.2.1V1.2.3V1.2.5V1.2.8
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.
SI-10 directly requires validation of information inputs to reject malformed or special-element content before it reaches downstream parsers.
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 require input validation and output encoding that prevent injection flaws.
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.
Security testing in development catches injection vulnerabilities before release.
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.
Logging supports detection of injection attempts but does not prevent the weakness.
Monitoring activities can identify active injection attacks after they occur.
Secure development life cycle mandates input validation and output encoding that directly prevent injection flaws.