Post-Authentication SQL Injection in LMS Face-to-Face Endpoint

A post-authentication SQL injection vulnerability in Koollab LMS allowed an authenticated attacker to use an error-based SQL oracle via the face-to-face runs update endpoint to read the entire application database and obtain valid JWT tokens for account takeover.

Casky was already ahead

This CVE exploits attack patterns that Casky's 322matched 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

This vulnerability represents a critical post-authentication SQL injection flaw in Koollab LMS that exploits the face-to-face runs update endpoint. While requiring valid authentication credentials to trigger, the vulnerability's CVSS score of 8.1 reflects its severe impact: attackers can leverage error-based SQL oracle techniques to extract the entire application database and pilfer JWT tokens for lateral account takeover. Organizations deploying Koollab LMS are directly affected, particularly educational institutions managing user authentication and sensitive learner data through this platform. The post-authentication nature doesn't diminish risk—insider threats, compromised accounts, or credential stuffing attacks provide attack vectors that transform this into a direct threat to data confidentiality and identity security.

Casky's 322 matching skills detect this attack pattern by mapping the vulnerability to MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Exfiltration), with Claude's extended reasoning identifying the attack chain: initial authentication bypass or credential compromise, followed by SQL injection payload injection through the update endpoint, error-based information extraction, and token exfiltration. Practitioners using Casky would see detection findings flagging anomalous database query patterns in application logs, unusual parameter manipulation in API requests to the face-to-face endpoint, and suspicious token generation events. The platform's skill mapping to CWE-89 (SQL Injection) combined with behavioral analysis of data exfiltration patterns helps security teams distinguish legitimate endpoint activity from exploitation attempts, enabling rapid incident response before attackers achieve persistent account takeover.

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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 →

322 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-63231.

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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