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CVE-2026-5426 affects Digital Knowledge KnowledgeDeliver LMS deployments using shared, hard-coded ASP.NET/IIS machineKey values supplied before February 24, 2026. An attacker possessing these keys can forge cryptographically valid malicious ViewState payloads that bypass integrity validation and trigger unsafe deserialization, resulting in unauthenticated remote code execution. Identical keys across customer installations allow a key obtained from one instance to be reused against other exposed deployments. The vulnerability was exploited as a zero-day.
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No valid public exploits. Mallory filtered out 1 candidate as fakes, detection scripts, or README-only repos.
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44 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
Critical unauthenticated remote code execution vulnerability in Digital Knowledge's KnowledgeDeliver LMS, rated CVSS 9.1. According to the content, installations deployed before February 24, 2026 used identical hardcoded ASP.NET machineKey values. Knowledge of these keys allows attackers to forge trusted ViewState data and execute code through unsafe deserialization. The article reports an observed compromise, although its quoted SSVC metadata inconsistently lists exploitation as 'none'.
A critical zero-day deserialization vulnerability in KnowledgeDeliver LMS caused by shared hardcoded ASP.NET machine keys in the web portal configuration, enabling unauthenticated ViewState deserialization and OS-level remote code execution.
A high-severity zero-day remote code execution vulnerability in Digital Knowledge KnowledgeDeliver caused by hard-coded ASP.NET machine keys, enabling unauthenticated ViewState deserialization attacks against internet-facing deployments.
A high-severity unauthenticated remote code execution vulnerability in Digital Knowledge KnowledgeDeliver caused by hard-coded ASP.NET machine keys enabling ViewState deserialization attacks.
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Every observed campaign linking this CVE to a named adversary.
Malware families riding this exploit, with evidence and IOCs.
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Cross-references every affected SKU, including bundled OEM variants.
Community discussion across Reddit, Mastodon, and other social sources.