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PatchSiren cyber security CVE debrief

CVE-2024-58393 i-Netsolution CVE debrief

CVE-2024-58393 is an SQL injection vulnerability in i-Netsolution Readymade Unilevel Ecommerce MLM (2024-03-15 build) that allows unauthenticated attackers to manipulate database queries through the 'id' parameter in /product-details.php. The vulnerability has a CVSS score of 8.8 and is considered HIGH severity. Exploitation evidence was first observed by the Shadowserver Foundation on 2024-09-14.

Vendor
i-Netsolution
Product
Readymade Unilevel Ecommerce MLM
CVSS
HIGH 8.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-22
Original CVE updated
2026-10-27
Advisory published
2026-10-22
Advisory updated
2026-10-27

Who should care

Defenders responsible for i-Netsolution Readymade Unilevel Ecommerce MLM systems should assess exposure and prioritize patching or mitigation. Defenders should prioritize verifying exposure and applying patches or mitigations. This includes verifying potential database information extraction through exploitation, assessing exposure of sensitive data, evaluating system compromise risk, and prioritizing patching or mitigation.

Why it matters

CVE-2024-58393 is a high-severity SQL injection vulnerability in i-Netsolution Readymade Unilevel Ecommerce MLM that allows unauthenticated attackers to manipulate database queries. Defenders should prioritize verifying exposure and applying patches or mitigations.

  • Verify potential database information extraction through exploitation
  • Assess exposure of sensitive data
  • Evaluate system compromise risk
  • Prioritize patching or mitigation

Technical summary

The vulnerability is caused by a lack of input validation in the 'id' parameter of /product-details.php, allowing attackers to inject malicious SQL code. The CVSS score of 8.8 indicates a high severity vulnerability. This SQL injection vulnerability in i-Netsolution Readymade Unilevel Ecommerce MLM (2024-03-15 build) allows unauthenticated attackers to manipulate database queries. The vulnerability has a CVSS score of 8.8 and is considered HIGH severity. The vulnerability allows unauthenticated attackers to manipulate database queries through the 'id' parameter in /product-details.php.

Defensive priority

Defenders should prioritize verifying the presence of this vulnerability in their systems and applying patches or mitigations as available.

Recommended defensive actions

  • Verify the presence of this vulnerability in your systems
  • Apply patches or mitigations as available
  • Monitor for exploitation attempts
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its CVSS score and exploitation evidence. However, the vendor and product information is not well-defined. Evidence was first observed by the Shadowserver Foundation on 2024-09-14. Defenders should verify the presence of this vulnerability in their systems and apply patches or mitigations as available. The vulnerability allows unauthenticated attackers to manipulate database queries through the 'id' parameter in /product-details.php.

Sources and references

Verified primary and authoritative sources

  • CVE-2024-58393 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2024-58393

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2024-58393 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2024-58393

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.