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token manipulation
About this tag
Token manipulation on Windows systems and AI platforms involves exploiting how tokens—such as authentication tokens in Azure DevOps or text tokens in large language models—are generated, handled, or interpreted. On Windows, vulnerabilities like CVE-2025-59216 involve race conditions in the graphics component that can lead to privilege escalation through token manipulation. In Azure DevOps Server, improper handling of pipeline job tokens allows attackers to swap short-term tokens for long-term ones, elevating their access. In AI, the TokenBreak attack exploits tokenization preprocessing to bypass LLM protections. These examples highlight token manipulation as a cross-domain security concern affecting authentication, privilege boundaries, and AI safety.
Microsoft’s advisory for CVE-2025-59216 describes a race-condition vulnerability in the Windows Graphics Component that can allow an authenticated local attacker to elevate privileges if they can win a timing window.
Executive summary
What it is: CVE-2025-59216 is a “concurrent execution using...
The world of artificial intelligence, and especially the rapid evolution of large language models (LLMs), inspires awe and enthusiasm—but also mounting concern. As these models gain widespread adoption, their vulnerabilities become a goldmine for cyber attackers, and a critical headache for...
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tokenmanipulationtokenbreak attack
tokenencoder exploits
tokenization
tokenization vulnerability
vulnerability
An elevation of privilege vulnerability exists in Azure DevOps Server and Team Foundation Services due to improper handling of pipeline job tokens. An attacker who successfully exploited this vulnerability could extend their access to a project.
To exploit this vulnerability, an attacker would...