Cybersecurity10/10
BleepingComputer · 2026-09-30
The Dutch Institute for Vulnerability Disclosure (DIVD) says that the breach of its network was possible by exploiting a chain of two zero-day vulnerabilities in the open-source Zammad ticketing system. [...]
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Cybersecurity10/10
BleepingComputer · 2026-09-30
Cisco released security updates to address a critical zero-day in the Catalyst SD-WAN Manager (tracked as CVE-2026-76504) that attackers are actively exploiting to escalate to admin privileges. [...]
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Cybersecurity10/10
BleepingComputer · 2026-09-30
Cryptocurrency exchange Bitget revealed today that attackers who stole $387.5 million last week breached its systems after exploiting a zero-day flaw in third-party security products. [...]
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Cybersecurity10/10
The Hacker News · 2026-09-30
Threat actors have weaponized a now-patched security flaw in Zimbra Collaboration Suite (ZCS) to deploy web shells and access mailbox data, according to findings from the Microsoft Security Research team. The attack exploits CVE-2026-73570 (CVSS score: 8.9), an unauthenticated operating system command injection flaw that can lead to remote code execution when Simple Network Management Protocol
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Cybersecurity10/10
The Hacker News · 2026-09-30
Cybersecurity researchers have disclosed technical details of a recently patched critical security flaw in Citrix NetScaler ADC and Gateway that has come under active exploitation in the wild. The vulnerability, tracked as CVE-2026-88772 (CVSS score: 9.5), has been described as a memory overflow bug in the Datagram Transport Layer Security (DTLS) protocol handling that's rooted in the NetScaler
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AI10/10
arXiv cs.CL · 2026-09-30
arXiv:2609.35805v1 Announce Type: new Abstract: Training a language model on data with a narrow flaw can sometimes make the model broadly misaligned. Inspecting the data at face value often does not settle whether it will emerge, and today it is caught only after training, by auditing the resulting model. To complement post-hoc audits, we introduce Alignment Forecasting: the task of predicting alignment failures…
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AI10/10
arXiv cs.CL · 2026-09-30
arXiv:2609.35791v1 Announce Type: new Abstract: Natural turn-taking in full-duplex voice interaction requires determining from partial speech whether a pause reflects hesitation or a completed conversational intent. Acoustic voice activity detection lacks this semantic information, while cascaded ASR-based endpointing introduces transcription dependence and additional processing stages. We formulate semantic…
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AI10/10
arXiv cs.CL · 2026-09-30
arXiv:2609.35807v1 Announce Type: new Abstract: LLM agents can make unsafe tool calls even when instructed to behave safely. Existing defenses constrain agents before execution, modify tool inputs/outputs, or rely on LLM judges; these approaches may depend on model behavior or block unsafe actions without helping the agent recover. We argue that the execution environment should instead enforce safety as the agent…
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AI10/10
arXiv cs.CL · 2026-09-30
arXiv:2609.35806v1 Announce Type: new Abstract: Automated skill extraction underpins workforce planning, yet most systems represent skills as flat labels with no notion of the responsibility level at which a skill is practiced. The Skills Framework for the Information Age (SFIA) captures exactly this dimension, defining 147 professional skills across seven responsibility levels, but no automated LLM-based…
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arXiv cs.CL · 2026-09-30
arXiv:2609.35804v1 Announce Type: new Abstract: Large language models (LLMs) have shown remarkable capabilities in various natural language processing tasks, leading to their widespread deployment as intelligent assistants in decision-making contexts. However, the increasing complexity of these models raises concerns about their reliability, particularly regarding bias and hallucination. In this work, we evaluate…
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