Race Condition Enables Unauthorized Cross-User Data Access

A Race Condition vulnerability affecting BIOVIA Workbook from Release 2021 through Release 2026 could allow a user to access unauthorized data from another user.

Casky was already ahead

This CVE exploits attack patterns that Casky's 224matched 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-2026-5120 is a race condition vulnerability (CWE-362) affecting BIOVIA Workbook across six major releases (2021-2026) that allows authenticated users to access sensitive data belonging to other users. Race conditions occur when the timing of operations creates a window of vulnerability—in this case, multiple users' concurrent requests can be exploited to bypass access controls. This vulnerability matters because BIOVIA Workbook handles research and scientific data that is often confidential, proprietary, or subject to regulatory protection. Any organization using affected versions faces exposure of intellectual property, research findings, and potentially personally identifiable information. The attack requires user-level access but no special privileges, making it a realistic threat in multi-user environments common in pharmaceutical, biotechnology, and research organizations.

Casky's 224 matched skills detect the attack patterns underlying this vulnerability by mapping to MITRE ATT&CK technique TA0004 (Privilege Escalation) and leveraging Claude's extended reasoning to identify race condition indicators across system behavior. Practitioners using Casky would observe findings around suspicious concurrent session activity, timing-based access anomalies, and data retrieval patterns that don't align with normal user workflows. The platform's skills would flag instances where request timing overlaps correlate with unauthorized data exposure, access logs showing rapid sequential requests to restricted resources, and instances where process synchronization failures create exploitable gaps. By correlating these behavioral signals with CWE-362 patterns, practitioners gain visibility into whether their BIOVIA Workbook deployments are susceptible to exploitation and can prioritize patching and access control hardening accordingly.

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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 →

224 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-5120.

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

analyzing-cloud-storage-access-patterns

cloud security · low

Run

MITRE ATT&CK Techniques

TA0004

Investigate the attack patterns behind CVE-2026-5120

Casky has 224 skills that investigate the attack patterns behind CVE-2026-5120. Run one and get CVSS-scored findings in 3 minutes.

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