Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/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:XCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2026-5577 is a medium-severity Injection (CWE-74) vulnerability in Songli Cross Browser Fingerprinting. Its CVSS base score is 5.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Dynamic Linker Hijacking (T1574.006); ranked at the 31th 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-2026-5577 is a SQL injection vulnerability in the Song-Li cross_browser project up to commit ca690f0fe6954fd9bcda36d071b68ed8682a786a. The issue resides in an unknown part of the file flask/uniquemachine_app.py within the details Endpoint component, where manipulation of the argument ID enables the injection. Associated with 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 7.3 (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L).
The vulnerability is exploitable remotely by unauthenticated attackers with network access and low complexity requirements. Successful exploitation allows limited impacts on confidentiality, integrity, and availability, potentially enabling unauthorized data access, modification, or disruption via crafted SQL payloads targeting the ID argument.
Advisories from VulDB (vuln/355347) and a public GitHub issue (wing3e/public_exp/issues/24) detail the flaw, noting that an exploit has been disclosed publicly and may be in use. The product follows a rolling release model, providing no specific version information for affected or patched releases. The vendor was notified early but has not responded or issued mitigations.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-19103
Vulnerability Data
A vulnerability has been found in Song-Li cross_browser up to ca690f0fe6954fd9bcda36d071b68ed8682a786a. This affects an unknown part of the file flask/uniquemachine_app.py of the component details Endpoint. Such manipulation of the argument ID leads to sql injection. The attack can be executed…
more
remotely. The exploit has been disclosed to the public and may be used. This product implements a rolling release for ongoing delivery, which means version information for affected or updated releases is unavailable. 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
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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 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.
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.
Application security requirements explicitly call for controls against injection attacks in software design.