Cyber Resilience

CVE-2024-58341

SQLi in Opencart 4.0.2.3

Public PoCSQLi
Published
25 March 2026
Modified
27 March 2026
Patch / advisory
CVSS Score v4 8.8
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:L/VA:N/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:X
EPSS Score 0.0034 27th percentile
Risk Priority 44 floored blend · peak EPSS

Summary

CVE-2024-58341 is a high-severity SQL Injection (CWE-89) vulnerability in Opencart Opencart. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 27th 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.

OpenCart Core version 4.0.2.3 is affected by CVE-2024-58341, a SQL injection vulnerability (CWE-89) in the product search endpoint. The flaw arises from insufficient sanitization of the 'search' parameter in GET requests, enabling attackers to inject malicious SQL code into database queries. This allows extraction of sensitive database information through boolean-based blind or time-based blind SQL injection techniques. The vulnerability has a CVSS v3.1 base score of 8.2 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N), indicating high severity due to its network accessibility and lack of prerequisites.

Unauthenticated attackers can exploit this vulnerability remotely by crafting GET requests to the product search endpoint with specially manipulated 'search' values. Successful exploitation enables data exfiltration, such as dumping user credentials, orders, or other confidential information from the database, without requiring privileges, user interaction, or impacting availability. The low attack complexity makes it accessible to attackers with basic SQL injection knowledge.

Mitigation details are available in vendor advisories and related resources, including the OpenCart GitHub releases page for patches, the official OpenCart website, a Vulncheck advisory on the search parameter SQL injection, and an Exploit-DB entry with a proof-of-concept (exploit ID 51940). Security practitioners should apply the latest updates from these sources to remediate the issue.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

OpenCart Core 4.0.2.3 contains a SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the 'search' parameter. Attackers can send GET requests to the product search endpoint with malicious 'search' values to extract…

more

sensitive database information using boolean-based blind or time-based blind SQL injection techniques.

CWE(s)

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

CVEs Like This One

CVE-2024-21514Same product: Opencart Opencart
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
CVE-2024-0528Shared CWE-89
CVE-2024-8167Shared CWE-89

Affected Assets

opencart
opencart
4.0.2.3

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

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.

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.

finds

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

prevents

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

prevents

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

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.

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