SQL Injection in Efence File Upload Functionality

Efence developed by Thinking Software Technology has a SQL Injection vulnerability. Unauthenticated remote attackers can access file upload functionality and read database contents.

Casky was already ahead

This CVE exploits attack patterns that Casky's 323matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

Efence, a product developed by Thinking Software Technology, contains a critical SQL injection vulnerability (CWE-89) in its file upload functionality that allows unauthenticated remote attackers to execute arbitrary SQL queries and read sensitive database contents. This vulnerability is particularly dangerous because it requires no authentication, meaning any attacker with network access can exploit it immediately. Organizations using Efence for file management, data storage, or related functions face direct risk of data exfiltration, unauthorized access to confidential information, and potential lateral movement within their infrastructure. The 8.2 CVSS score reflects the severe impact of unrestricted database access combined with the ease of exploitation.

Casky.ai's 323 mapped security skills leverage Claude AI's extended reasoning to identify attack patterns associated with this vulnerability across two critical MITRE ATT&CK techniques: Initial Access (TA0001) and Reconnaissance (TA0043). Practitioners using Casky would see detection findings that correlate suspicious HTTP requests containing SQL syntax patterns directed at the file upload endpoint, combined with unusual database query activity and authentication bypass attempts. The platform's skill mapping enables security teams to understand not just that SQL injection is occurring, but how it chains with attacker reconnaissance and initial access tactics—showing patterns like probing for database structure, attempting time-based or error-based injection techniques, and data exfiltration queries. This contextual analysis helps practitioners rapidly distinguish between legitimate file uploads and exploit attempts, prioritize response actions, and implement appropriate defensive controls against both immediate exploitation and follow-on attack chains.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

323 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-80236.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

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