CVE-2024-0756

The Insert or Embed Articulate Content into WordPress plugin through 4.3000000023 lacks validation of URLs when adding iframes, allowing attackers to inject an iFrame in the page and thus load arbitrary content from any page...

CVE-2024-23187

Content-ID based embedding of resources in E-Mails could be abused to trigger client-side script code when using the "show more" option. Attackers could perform malicious API requests or extract information from the users account. Exploiting the vulnerability requires user interaction. Please...

CVE-2023-28529

IBM InfoSphere Information Server 11.7 is vulnerable to stored cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID:...

CVE-2023-32301

Discourse is an open source discussion platform. Prior to version 3.0.4 of the stable branch and version 3.1.0.beta5 of the beta and tests-passed branches, multiple duplicate topics could be created if topic embedding is enabled. This issue is patched in version 3.0.4 of the stable branch and...

CVE-2023-23074

Cross site scripting XSS vulnerability in Zoho ManageEngine ServiceDesk Plus 14 via embedding videos in the language component...

CVE-2023-47121

Discourse is an open source platform for community discussion. Prior to version 3.1.3 of the stable branch and version 3.2.0.beta3 of the beta and tests-passed branches, the embedding feature is susceptible to server side request forgery. The issue is patched in version 3.1.3 of the stable branch...

CVE-2012-4110

run-script in the fabric-interconnect component in Cisco Unified Computing System UCS allows local users to gain privileges by embedding commands in an unspecified parameter, aka Bug ID CSCtq86560...

LAGO: Few-Shot Crosslingual Embedding Inversion Attacks Via Language Similarity-Aware Graph Optimization

We propose LAGO - Language Similarity-Aware Graph Optimization - a novel approach for few-shot cross-lingual embedding inversion attacks, addressing critical privacy vulnerabilities in multilingual NLP systems. Unlike prior work in embedding inversion attacks that treat languages independently,...

EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression

Graph Neural Networks GNNs have been widely used for graph analysis. Federated Graph Learning FGL is an emerging learning framework to collaboratively train graph data from various clients. However, since clients are required to upload model parameters to the server in each round, this provides t...

GSDFuse: Capturing Cognitive Inconsistencies from Multi-Dimensional Weak Signals in Social Media Steganalysis

The ubiquity of social media platforms facilitates malicious linguistic steganography, posing significant security risks. Steganalysis is profoundly hindered by the challenge of identifying subtle cognitive inconsistencies arising from textual fragmentation and complex dialogue structures, and th...

FedGraM: Defending against Untargeted Attacks in Federated Learning Via Embedding Gram Matrix

Federated Learning FL enables geographically distributed clients to collaboratively train machine learning models by sharing only their local models, ensuring data privacy. However, FL is vulnerable to untargeted attacks that aim to degrade the global model's performance on the underlying data...

On Technique Identification and Threat-Actor Attribution Using LLMs and Embedding Models

Attribution of cyber-attacks remains a complex but critical challenge for cyber defenders. Currently, manual extraction of behavioral indicators from dense forensic documentation causes significant attribution delays, especially following major incidents at the international scale. This research...

Cybersecurity Threat Detection Based on a UEBA Framework Using Deep Autoencoders

User and Entity Behaviour Analytics UEBA is a broad branch of data analytics that attempts to build a normal behavioural profile in order to detect anomalous events. Among the techniques used to detect anomalies, Deep Autoencoders constitute one of the most promising deep learning models on UEBA...

NCorr-FP: a Neighbourhood-Based Correlation-Preserving Fingerprinting Scheme for Intellectual Property Protection of Structured Data

Ensuring data ownership and traceability of unauthorised redistribution are central to safeguarding intellectual property in shared data environments. Data fingerprinting addresses these challenges by embedding recipient-specific marks into the data, typically via content modifications. We propos...

A Study on Audio Synchronous Steganography Detection and Distributed Guide Inference Model Based on Sliding Spectral Features and Intelligent Inference Drive

With the rise of short video platforms in global communication, embedding steganographic data in audio synchronization streams has emerged as a new covert communication method. To address the limitations of traditional techniques in detecting synchronized steganography, this paper proposes a...

CVE-2025-46568

Stirling-PDF is a locally hosted web application that allows you to perform various operations on PDF files. Prior to version 0.45.0, Stirling-PDF is vulnerable to SSRF-induced arbitrary file read. WeasyPrint redefines a set of HTML tags, including img, embed, object, and others. The references t...

Spill the Beans: Exploiting CPU Cache Side-Channels to Leak Tokens from Large Language Models

Side-channel attacks on shared hardware resources increasingly threaten confidentiality, especially with the rise of Large Language Models LLMs. In this work, we introduce Spill The Beans, a novel application of cache side-channels to leak tokens generated by an LLM. By co-locating an attack...

PT-2025-18319 · Xwiki · Xwiki Contrib'S Syntax Markdown

Name of the Vulnerable Software and Affected Versions: XWiki Contrib's Syntax Markdown versions 8.2 through 8.8 Description: The issue allows any user to embed Javascript code using Markdown syntax, which can be executed on the browser of other users visiting the document or comment containing it...

Allocation of Resources Without Limits or Throttling

Overview org.webjars.npm:pdfmake is a Client/server side PDF printing in pure JavaScript Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling via repeatedly redirect URL in file embedding. An attacker can cause the application to crash or become...

Allocation of Resources Without Limits or Throttling

Overview pdfmake is a Client/server side PDF printing in pure JavaScript Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling via repeatedly redirect URL in file embedding. An attacker can cause the application to crash or become unresponsive by...