1432 matches found
Charting the Uncharted: the Landscape of Monero Peer-To-Peer Network
The Monero blockchain enables anonymous transactions through advanced cryptography in its peer-to-peer network, which underpins decentralization, security, and trustless interactions. However, privacy measures obscure peer connections, complicating network analysis. This study proposes a method t...
CVE-2025-24487
An unauthenticated attacker can infer the existence of usernames in the system by querying an API...
CVE-2025-3622
A vulnerability, which was classified as critical, has been found in Xorbits Inference up to 1.4.1. This issue affects the function load of the file xinference/thirdparty/cosyvoice/cli/model.py. The manipulation leads to deserialization...
CVE-2025-24487
CVE-2025-24487 concerns Growatt Cloud Applications (Cloud portal). Multiple connected sources indicate an unauthenticated attacker can infer the existence of usernames by querying an API, implying an exposed endpoint that reveals user existence without requiring authentication. Publicly cited ref...
CVE-2025-24487 Growatt Cloud portal Authorization Bypass Through User-Controlled Key
An unauthenticated attacker can infer the existence of usernames in the system by querying an API...
CVE-2025-3622
A vulnerability, which was classified as critical, has been found in Xorbits Inference up to 1.4.1. This issue affects the function load of the file xinference/thirdparty/cosyvoice/cli/model.py. The manipulation leads to deserialization...
CVE-2025-3622
Xorbits Inference up to version 1.4.1 contains a deserialization flaw in the load function of xinference/thirdparty/cosyvoice/cli/model.py. The issue allows manipulation of serialized data to trigger code execution or other unintended behavior. CVSS metrics in the connected data indicate a MEDIUM...
CVE-2025-3622 Xorbits Inference model.py load deserialization
A vulnerability, which was classified as critical, has been found in Xorbits Inference up to 1.4.1. This issue affects the function load of the file xinference/thirdparty/cosyvoice/cli/model.py. The manipulation leads to deserialization...
CVE-2025-3622 Xorbits Inference model.py load deserialization
A vulnerability, which was classified as critical, has been found in Xorbits Inference up to 1.4.1. This issue affects the function load of the file xinference/thirdparty/cosyvoice/cli/model.py. The manipulation leads to deserialization...
CVE-2025-3622 Xorbits Inference model.py load deserialization
A vulnerability, which was classified as critical, has been found in Xorbits Inference up to 1.4.1. This issue affects the function load of the file xinference/thirdparty/cosyvoice/cli/model.py. The manipulation leads to deserialization...
RAID: an In-Training Defense against Attribute Inference Attacks in Recommender Systems
In various networks and mobile applications, users are highly susceptible to attribute inference attacks, with particularly prevalent occurrences in recommender systems. Attackers exploit partially exposed user profiles in recommendation models, such as user embeddings, to infer private attribute...
Growatt Cloud Applications 安全漏洞
Growatt Cloud Applications is a monitoring platform from Growatt, a Chinese company. A security vulnerability exists in Growatt Cloud Applications version 3.6.0 and prior versions, which originates from an unauthenticated attacker being able to infer the presence of a username on the system...
PT-2025-16414
Name of the Vulnerable Software and Affected Versions The product name cannot be determined. Description An unauthenticated attacker can infer the existence of usernames in the system by querying an API. Recommendations At the moment, there is no information about a newer version that contains a...
Xorbits Inference 安全漏洞
Xorbits Inference is an open source Xorbits tool that can be used with a variety of LLMs. A security vulnerability exists in Xorbits Inference 1.4.1 and earlier versions, which stems from improper handling of the load function in the xinference/thirdparty/cosyvoice/cli/model.py file, which could...
Concept Enhancement Engineering: a Lightweight and Efficient Robust Defense against Jailbreak Attacks in Embodied AI
Embodied Intelligence EI systems integrated with large language models LLMs face significant security risks, particularly from jailbreak attacks that manipulate models into generating harmful outputs or executing unsafe physical actions. Traditional defense strategies, such as input filtering and...
CVE-2025-32375
Summary: CVE-2025-32375 affects BentoML prior to version 1.4.8, due to an insecure deserialization in BentoML’s runner server. The vulnerability allows an attacker to craft POST requests with specific headers/parameters to execute arbitrary code on the server, giving initial access and informatio...
CVE-2025-27520
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. A Remote Code Execution RCE vulnerability caused by insecure deserialization has been identified in the latest version v1.4.2 of BentoML. It allows any unauthenticated user to execute...
Malicious code in monitor-inference-results (npm)
--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 0a81996c10459a5786a55c906eda2f407966455557441d103e3d55c4ab53e1c5 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...
AIs as Trusted Third Parties
This is a truly fascinating paper: "Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography." The basic idea is that AIs can act as trusted third parties: Abstract: We often interact with untrusted parties. Prioritization of privacy can limit t...
