SQL Injection Vulnerability in DIAEnergie Energy Management

SQL Injection vulnerability in DIAEnergie. This issue affects DIAEnergie: before 1.11.00.022.

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

CVE-2026-78309 is a SQL injection vulnerability affecting DIAEnergie versions before 1.11.00.022, rated high severity with a CVSS score of 8.8. SQL injection remains one of the most critical attack vectors, allowing attackers to manipulate database queries and potentially access, modify, or delete sensitive data. This vulnerability impacts organizations using DIAEnergie for energy management operations—including utilities, industrial facilities, and large enterprises managing critical infrastructure. Without proper input validation and parameterized queries, attackers can inject malicious SQL commands through user inputs, compromising the confidentiality and integrity of backend databases.

Casky's platform maps 323 security skills to detect the attack patterns associated with this vulnerability across MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance: Gather OSINT). Using Claude AI with extended reasoning, practitioners can identify reconnaissance activities that precede SQL injection exploitation, such as fingerprinting database systems, probing input fields for injection points, and testing error messages for information disclosure. Practitioners leveraging Casky would observe detailed findings on attack progression—from initial reconnaissance where adversaries discover DIAEnergie instances and database architecture, through to injection payload crafting. The platform's skill set helps security teams understand not just the vulnerability itself (CWE-89), but the full adversarial chain: how attackers scout targets, identify vulnerable endpoints, and prepare for exploitation, enabling defense-in-depth strategies beyond patching alone.

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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-2026-78309.

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-2026-78309

Casky has 323 skills that investigate the attack patterns behind CVE-2026-78309. Run one and get CVSS-scored findings in 3 minutes.

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