D-Link DCS-6517和D-Link DCS-7517 安全特征问题漏洞

The D-Link DCS-6517 and D-Link DCS-7517 are both network cameras from China AUO D-Link. A security signature issue vulnerability exists in D-Link DCS-6517 and D-Link DCS-7517 versions 2.02.0 and earlier, which stems from insufficient entropy in the password generation function...

PT-2025-27482 · D Link · D-Link Dcs-7517 +1

Name of the Vulnerable Software and Affected Versions: D-Link DCS-6517 versions up to 2.02.0 D-Link DCS-7517 versions up to 2.02.0 Description: A vulnerability was found in the function generate pass from mac of the file /bin/httpd of the component Root Password Generation Handler. The manipulati...

Don'T Hash Me like That: Exposing and Mitigating Hash-Induced Unfairness in Local Differential Privacy

Local differential privacy LDP has become a widely accepted framework for privacy-preserving data collection. In LDP, many protocols rely on hash functions to implement user-side encoding and perturbation. However, the security and privacy implications of hash function selection have not been...

The vulnerability of the rweather library and the crypto-based solutions for organizing tactical radio communications in hard-to-access areas like Meshtastic allows attackers to compromise the confidentiality, integrity, and accessibility of protected information.

The vulnerability of the rweather library and the crypto-based solutions for organizing tactical radio communications in hard-to-access areas like Meshtastic is related to insufficient entropy during key generation. Exploiting this vulnerability allows a remote attacker to compromise the...

Information-Theoretic Estimation of the Risk of Privacy Leaks

Recent work\citeLiu2016 has shown that dependencies between items in a dataset can lead to privacy leaks. We extend this concept to privacy-preserving transformations, considering a broader set of dependencies captured by correlation metrics. Specifically, we measure the correlation between the...

Leakage-Resilient Extractors against Number-On-Forehead Protocols

Given a sequence of $N$ independent sources $\mathbfX1,\mathbfX2,\dots,\mathbfXN\sim\0,1^n$, how many of them must be good i.e., contain some min-entropy in order to extract a uniformly random string? This question was first raised by Chattopadhyay, Goodman, Goyal and Li STOC '20, motivated by...

An Efficient Construction of Raz's Two-Source Randomness Extractor with Improved Parameters

Randomness extractors are algorithms that distill weak random sources into near-perfect random numbers. Two-source extractors enable this distillation process by combining two independent weak random sources. Raz's extractor STOC '05 was the first to achieve this in a setting where one source has...

LexiMark: Robust Watermarking via Lexical Substitutions to Enhance Membership Verification of an LLM's Textual Training Data

Large language models LLMs can be trained or fine-tuned on data obtained without the owner's consent. Verifying whether a specific LLM was trained on particular data instances or an entire dataset is extremely challenging. Dataset watermarking addresses this by embedding identifiable modification...

A Dual-Layer Image Encryption Framework Using Chaotic AES with Dynamic S-Boxes and Steganographic QR Codes

This paper presents a robust image encryption and key distribution framework that integrates an enhanced AES-128 algorithm with chaos theory and advanced steganographic techniques for dual-layer security. The encryption engine features a dynamic ShiftRows operation controlled by a logistic map,...

Real-Time, Low-Latency Surveillance Using Entropy-Based Adaptive Buffering and MobileNetV2 on Edge Devices

This paper describes a high-performance, low-latency video surveillance system designed for resource-constrained environments. We have proposed a formal entropy-based adaptive frame buffering algorithm and integrated that with MobileNetV2 to achieve high throughput with low latency. The system is...

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination through Private Information Retrieval

User profiling is crucial in providing personalised services, as it relies on analyzing user behaviour and preferences to deliver targeted services. This approach enhances user experience and promotes heightened engagement. Nevertheless, user profiling also gives rise to noteworthy privacy...

CVE-2025-52464

Meshtastic versions 2.5.0–2.6.10 expose a vulnerability where flashing procedures can duplicate public/private keys and the RNG may have low entropy, allowing an attacker to decrypt Direct Messages after collecting compromised keys. This is caused by key generation timing and insufficient randomn...

CVE-2025-52464 Meshtastic Repeated Public and Private Keypairs

Meshtastic is an open source mesh networking solution. In versions from 2.5.0 to before 2.6.11, the flashing procedure of several hardware vendors was resulting in duplicated public/private keys. Additionally, the Meshtastic was failing to properly initialize the internal randomness pool on some...

CVE-2025-52464 Meshtastic Repeated Public and Private Keypairs

Meshtastic is an open source mesh networking solution. In versions from 2.5.0 to before 2.6.11, the flashing procedure of several hardware vendors was resulting in duplicated public/private keys. Additionally, the Meshtastic was failing to properly initialize the internal randomness pool on some...

Meshtastic 安全特征问题漏洞

Meshtastic is a decentralized wireless off-grid mesh network LoRa protocol open-sourced by Meshtastic. A security signature issue vulnerability exists in Meshtastic versions prior to 2.5.0 through 2.6.11, which stems from insufficient entropy in the key generation process that could lead to key...

Quantifying Mix Network Privacy Erosion with Generative Models

Modern mix networks improve over Tor and provide stronger privacy guarantees by robustly obfuscating metadata. As long as a message is routed through at least one honest mixnode, the privacy of the users involved is safeguarded. However, the complexity of the mixing mechanisms makes it difficult ...

HeavyWater and SimplexWater: Watermarking Low-Entropy Text Distributions

Large language model LLM watermarks enable authentication of text provenance, curb misuse of machine-generated text, and promote trust in AI systems. Current watermarks operate by changing the next-token predictions output by an LLM. The updated i.e., watermarked predictions depend on random side...

Breaking the Gaussian Barrier: Residual-PAC Privacy for Automatic Privatization

The Probably Approximately Correct PAC Privacy framework 1 provides a powerful instance-based methodology for certifying privacy in complex data-driven systems. However, existing PAC Privacy algorithms rely on a Gaussian mutual information upper bound. We show that this is in general too...

The Hashed Fractal Key Recovery (HFKR) Problem: from Symbolic Path Inversion to Post-Quantum Cryptographic Keys

Classical cryptographic systems rely heavily on structured algebraic problems, such as factorization, discrete logarithms, or lattice-based assumptions, which are increasingly vulnerable to quantum attacks and structural cryptanalysis. In response, this work introduces the Hashed Fractal Key...

CVE-2025-4607

The PSW Front-end Login & Registration plugin for WordPress is vulnerable to Privilege Escalation in all versions up to, and including, 1.12 via the customerregistration function. This is due to the use of a weak, low-entropy OTP mechanism in the forget function. This makes it possible for...