Raw vector
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2025-8296 is a high-severity SQL Injection (CWE-89) vulnerability in Ivanti Avalanche. Its CVSS base score is 7.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 37% 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.
Ivanti Avalanche versions prior to 6.4.8.8008 are affected by a SQL injection vulnerability, identified as CVE-2025-8296 and assigned CWE-89. The flaw resides in the product and permits execution of arbitrary SQL queries when triggered through the network.
A remote authenticated attacker with administrative privileges can exploit the issue to run arbitrary SQL queries. Under certain conditions the same access path can be escalated to remote code execution, consistent with the CVSS 3.1 vector AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H that yields a base score of 7.2.
The vendor has issued a security advisory covering CVE-2025-8296 and an accompanying issue; the advisory is available at https://forums.ivanti.com/s/article/Security-Advisory-Ivanti-Avalanche-CVE-2025-8296-CVE-2025-8297?language=en_US and should be consulted for official mitigation steps. The EPSS score has remained flat at 0.0761 with no material rise observed after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-24259
Vulnerability Data
SQL injection in Ivanti Avalanche before version 6.4.8.8008 allows a remote authenticated attacker with admin privileges to execute arbitrary SQL queries. In certain conditions, this can also lead to remote code execution
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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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.
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.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.
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.
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.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.