Unparameterized T-SQL Injection from Request Body

A parameter taken from the request body is inserted into a T-SQL statement without parameterization or escaping, allowing a remote attacker to execute arbitrary SQL statements in the context of the application's database account.

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

This vulnerability represents a critical SQL injection flaw where user-supplied input from HTTP request bodies is directly concatenated into T-SQL queries without parameterization or sanitization. With a CVSS score of 9.9, this allows unauthenticated attackers to execute arbitrary SQL commands with the privileges of the application's database account, potentially leading to complete data exfiltration, modification, or destruction. Organizations running applications that accept user input and construct dynamic SQL queries—particularly legacy systems or those built without secure coding practices—face immediate risk of compromise. The vulnerability's severity is amplified by its ease of exploitation and the broad attack surface of web applications.

Casky.ai maps this vulnerability across 323 security skills that leverage Claude's extended reasoning to detect the attack patterns associated with TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would observe detections for SQL injection attempts in request payloads, identification of T-SQL syntax patterns in application logs, and anomalous database query structures that deviate from expected prepared statements. The platform's skills would flag indicators such as UNION-based injection attempts, time-based blind SQL injection probes, and error-based techniques that extract schema information. Additionally, Casky would correlate suspicious database connection patterns, privilege escalation queries, and data exfiltration commands—helping security teams identify both the injection vector and post-exploitation activities in real-time.

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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-2026-89310.

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

Investigate the attack patterns behind CVE-2026-89310

Casky has 323 skills that investigate the attack patterns behind CVE-2026-89310. Run one and get CVSS-scored findings in 3 minutes.

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