Cross-Evidence Authorization State Learning for Runtime Detection of Broken Object-Level Authorization in Black-Box Web Applications

Reported by arXiv cs.CR (Siqi Lin, Qianheng Cheng, Yiping Mao)

Summary by Cyber Security News3 Nov 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2611.00738

arXiv:2611.00738v1 Announce Type: new Abstract: Broken object-level authorization (BOLA) remains difficult to detect in black-box Web applications because external runtime monitors generally lack access to source code, authorization policies, and object-ownership records. This paper proposes a cross-evidence authorization-state learning method that reconstructs subject--resource--object--action relations from request--response transactions.

Read the full article at arXiv cs.CR →

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