CVE-2025-0700
SQLi in Joeybling Bootplus ≤ 2020-08-24
Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/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:XSummary
CVE-2025-0700 is a medium-severity Injection (CWE-74) vulnerability in Joeybling Bootplus. Its CVSS base score is 5.3 (Medium).
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.
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-2025-0700 is a SQL injection vulnerability in the JoeyBling bootplus project, affecting commits up to 247d5f6c209be1a5cf10cd0fa18e1d8cc63cf55d. The issue resides in an unknown functionality of the /admin/sys/log/list file, where manipulation of the logId argument enables the injection. Rated as critical with a CVSS v3.1 base score of 6.3 (AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L), it is associated with CWE-74 and CWE-89. The product uses a rolling release model, so no specific affected or patched version details are available.
The vulnerability can be exploited remotely by an attacker with low privileges (PR:L), requiring no user interaction and low attack complexity. Successful exploitation allows limited impacts on confidentiality, integrity, and availability, potentially enabling unauthorized data access, modification, or disruption through SQL injection.
Advisories referenced in GitHub issues at https://github.com/JoeyBling/bootplus/issues/22 and https://github.com/JoeyBling/bootplus/issues/22#issue-2786899884, along with VulDB entries at https://vuldb.com/?ctiid.293228, https://vuldb.com/?id.293228, and https://vuldb.com/?submit.480838, document the issue but provide no explicit mitigation or patch details due to the rolling release nature. The exploit has been publicly disclosed and may be used by attackers.
Notable context includes the public availability of the exploit, published on 2025-01-24, increasing the risk of active exploitation in unpatched instances of bootplus.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-1823
Vulnerability Data
A vulnerability was found in JoeyBling bootplus up to 247d5f6c209be1a5cf10cd0fa18e1d8cc63cf55d. It has been rated as critical. Affected by this issue is some unknown functionality of the file /admin/sys/log/list. The manipulation of the argument logId leads to sql injection. The attack…
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may be launched remotely. The exploit has been disclosed to the public and may be used. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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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.