Cyber Resilience

CVE-2023-34133

SQLi in Sonicwall Global Management System ≤ 9.3.2

Public PoCHigh EPSSSQLi
Published
13 July 2023
Modified
23 April 2025
Patch / advisory
View advisory
CVSS Score v3.1 7.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.73 99.4th percentile
Risk Priority 83 floored blend · peak EPSS

Summary

CVE-2023-34133 is a high-severity SQL Injection (CWE-89) vulnerability in Sonicwall Global Management System. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 0.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

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-2023-34133 is an SQL injection vulnerability resulting from improper neutralization of special elements in SQL commands, tracked under CWE-89. It affects SonicWall GMS versions 9.3.2-SP1 and earlier as well as Analytics versions 2.5.0.4-R7 and earlier, allowing direct interaction with the application database.

An unauthenticated attacker can exploit the flaw remotely over the network with no credentials or user interaction required, achieving extraction of sensitive information from the database. The vulnerability carries a CVSS 3.1 score of 7.5 reflecting high confidentiality impact with low attack complexity.

SonicWall PSIRT notice SNWLID-2023-0010 and the associated support advisory at sonicwall.com detail the affected releases and direct administrators to remediation steps including patches for supported versions.

The associated EPSS score reached a peak of 0.7308.

OWASP Top 10 for Web (2025)

A05:2025 Injection

EU & UK References

Vulnerability Data

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in SonicWall GMS and Analytics allows an unauthenticated attacker to extract sensitive information from the application database. This issue affects GMS: 9.3.2-SP1 and earlier versions; Analytics: 2.5.0.4-R7…

more

and earlier versions.

CWE(s)
CWE-89

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.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2021-20028Same vendor: Sonicwall
CVE-2019-7481Same vendor: Sonicwall
CVE-2021-20016Same vendor: Sonicwall
CVE-2023-26034Shared CWE-89
CVE-2023-46914Shared CWE-89
CVE-2023-44284Shared CWE-89
CVE-2023-48722Shared CWE-89
CVE-2024-4071Shared CWE-89
CVE-2023-49085Shared CWE-89
CVE-2024-25314Shared CWE-89

Affected Assets

sonicwall
analytics
≤ 2.5.0.4-r7
sonicwall
global management system
9.3.2 · ≤ 9.3.2

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

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

CA-8 Penetration Testing
addresses: CWE-89

Penetration testing uses SQL injection payloads against database interfaces, identifying and supporting fixes for SQL injection weaknesses.

SI-10 Information Input Validation
addresses: CWE-89

Validates query inputs to prevent SQL syntax or command manipulation.

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.

A.8.29 Security testing in development and acceptance mostly match
finds

The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.

A.5.6 Contact with special interest groups partial match
prevents

Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.

A.5.7 Threat intelligence partial match
prevents

Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.

A.8.25 Secure development life cycle partial match
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.

A.8.28 Secure coding partial match
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