DivvyDrive Cross-Site Request Forgery Flaw

Cross-Site request forgery (CSRF) vulnerability in DivvyDrive Information Technologies Inc. DivvyDrive allows Cross Site Request Forgery. This issue affects DivvyDrive: from 4.8.2.9 before 4.8.3.2.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched 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-2026-5791 exposes a critical Cross-Site Request Forgery (CSRF) vulnerability in DivvyDrive versions 4.8.2.9 through 4.8.3.1, earning a 9.6 CVSS severity rating. CSRF vulnerabilities allow attackers to trick authenticated users into performing unwanted actions on their behalf—such as changing account settings, transferring data, or modifying permissions—without their knowledge or consent. Organizations running affected DivvyDrive instances face significant risk: attackers can exploit this weakness to compromise data integrity, exfiltrate sensitive information, or gain unauthorized access to file-sharing functionality. Any organization using DivvyDrive for collaborative document management or information sharing should treat this as an immediate patching priority.

Casky.ai's 301 mapped security skills detect the attack patterns behind this vulnerability by correlating MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Resource Development) with Claude's extended reasoning capabilities. Practitioners using Casky will see findings that identify suspicious cross-origin requests lacking proper anti-CSRF tokens (such as SameSite cookie attributes or state validation), detect anomalous state-changing operations initiated from external origins, and flag patterns consistent with token prediction or session fixation attempts. The platform's skill set enables detection of malicious social engineering campaigns designed to lure DivvyDrive users to crafted external sites, combined with behavioral analysis revealing unauthorized actions executed within legitimate user sessions—giving security teams the contextual intelligence needed to distinguish genuine user activity from CSRF exploitation attempts.

Live Threat IntelligenceComing soon

Casky Risk Score

—

EPSS Probability

—

Shodan Exposure

—

GreyNoise Signal

—

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 →

301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-5791.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

Run

analyzing-campaign-attribution-evidence

threat intelligence · low

Run

analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-5791

Casky has 301 skills that investigate the attack patterns behind CVE-2026-5791. Run one and get CVSS-scored findings in 3 minutes.

Run the skill that detects this →

X Instagram LinkedIn