CVE-2022-29606

An issue was discovered in ONOS 2.5.1. An intent with a large port number shows the CORRUPT state, which is misleading to a network operator. Improper handling of such port numbers causes inconsistency between intent and flow rules in the network...

CVE-2021-42142

An issue was discovered in Contiki-NG tinyDTLS through master branch 53a0d97. DTLS servers mishandle the early use of a large epoch number. This vulnerability allows remote attackers to cause a denial of service and false-positive packet drops...

CVE-2021-20109

Due to the Asset Explorer agent not validating HTTPS certificates, an attacker on the network can statically configure their IP address to match the Asset Explorer's Server IP address. This will allow an attacker to send a NEWSCAN request to a listening agent on the network as well as receive the...

CVE-2021-31340

A vulnerability has been identified in SIMATIC RF166C All versions V1.1 and V1.1 and V1.1 and V1.1 and V1.1 and V1.1 and V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V3.0 V4.0. Affected devices do not properly handle large numbers of incoming connections. A...

CVE-2021-39932

An issue has been discovered in GitLab CE/EE affecting all versions starting from 11.0 before 14.3.6, all versions starting from 14.4 before 14.4.4, all versions starting from 14.5 before 14.5.2. Using large payloads, the diff feature could be used to trigger high load time for users reviewing co...

CVE-2021-22095

In Spring AMQP versions 2.2.0 - 2.2.19 and 2.3.0 - 2.3.11, the Spring AMQP Message object, in its toString method, will create a new String object from the message body, regardless of its size. This can cause an OOM Error with a large message...

CVE-2020-25796

An issue was discovered in the sized-chunks crate through 0.6.2 for Rust. In the InlineArray implementation, an unaligned reference may be generated for a type that has a large alignment requirement...

CVE-2010-2327

modibmssl in IBM HTTP Server 6.0 before 6.0.2.43, 6.1 before 6.1.0.33, and 7.0 before 7.0.0.11, as used in IBM WebSphere Application Server WAS on z/OS, does not properly handle a large HTTP request body in uploading over SSL, which might allow remote attackers to cause a denial of service daemon...

CVE-2012-2785

Multiple unspecified vulnerabilities in libavcodec/wmalosslessdec.c in FFmpeg before 0.11 have unknown impact and attack vectors, related to 1 "some subframes only encode some channels" or 2 a large order value...

CVE-2019-20845

An issue was discovered in Mattermost Server before 5.18.0. It allows attackers to cause a denial of service memory consumption via a large Slack import...

CVE-2018-5252

libimageworsener.a in ImageWorsener 1.3.2, when libjpeg 8d is used, has a large loop in the getrawsampleint function in imagew-main.c...

Mapping the Future of AI Security

AI security is one of the most pressing challenges facing the world today. Artificial intelligence is extraordinarily powerful, and, especially considering the advent of Agentic AI, growing more so by the day. But it is for this reason that securing it is so important. AI handles massive amounts ...

CVE-2016-10914

The add-from-server plugin before 3.3.2 for WordPress has CSRF for importing a large file...

CVE-2012-6326

VMware vCenter Server 4.1 before Update 3 and 5.0 before Update 2, and vCSA 5.0 before Update 2, allows remote attackers to cause a denial of service disk consumption via vectors that trigger large log entries...

When Safety Detectors Aren'T Enough: a Stealthy and Effective Jailbreak Attack on LLMs Via Steganographic Techniques

Jailbreak attacks pose a serious threat to large language models LLMs by bypassing built-in safety mechanisms and leading to harmful outputs. Studying these attacks is crucial for identifying vulnerabilities and improving model security. This paper presents a systematic survey of jailbreak method...

An End-To-End Model for Logits Based Large Language Models Watermarking

The rise of LLMs has increased concerns over source tracing and copyright protection for AIGC, highlighting the need for advanced detection technologies. Passive detection methods usually face high false positives, while active watermarking techniques using logits or sampling manipulation offer...

Advancing Security with Digital Twins: a Comprehensive Survey

The proliferation of electronic devices has greatly transformed every aspect of human life, such as communication, healthcare, transportation, and energy. Unfortunately, the global electronics supply chain is vulnerable to various attacks, including piracy of intellectual properties, tampering,...

CAIN: Hijacking LLM-Humans Conversations Via a Two-Stage Malicious System Prompt Generation and Refining Framework

Large language models LLMs have advanced many applications, but are also known to be vulnerable to adversarial attacks. In this work, we introduce a novel security threat: hijacking AI-human conversations by manipulating LLMs' system prompts to produce malicious answers only to specific targeted...

Mitigating Fine-Tuning Risks in LLMs Via Safety-Aware Probing Optimization

The significant progress of large language models LLMs has led to remarkable achievements across numerous applications. However, their ability to generate harmful content has sparked substantial safety concerns. Despite the implementation of safety alignment techniques during the pre-training...

CoTSRF: Utilize Chain of Thought As Stealthy and Robust Fingerprint of Large Language Models

Despite providing superior performance, open-source large language models LLMs are vulnerable to abusive usage. To address this issue, recent works propose LLM fingerprinting methods to identify the specific source LLMs behind suspect applications. However, these methods fail to provide stealthy...