Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs

In Large Language Models, Retrieval-Augmented Generation RAG systems can significantly enhance the performance of large language models by integrating external knowledge. However, RAG also introduces new security risks. Existing research focuses mainly on how poisoning attacks in RAG systems affe...

Byzantine Outside, Curious Inside: Reconstructing Data through Malicious Updates

Federated learning FL enables decentralized machine learning without sharing raw data, allowing multiple clients to collaboratively learn a global model. However, studies reveal that privacy leakage is possible under commonly adopted FL protocols. In particular, a server with access to client...

GO-2025-3743 CoreDNS Vulnerable to DoQ Memory Exhaustion via Stream Amplification in github.com/coredns/coredns

CoreDNS Vulnerable to DoQ Memory Exhaustion via Stream Amplification in github.com/coredns/coredns...

Certified Unlearning for Neural Networks

We address the problem of machine unlearning, where the goal is to remove the influence of specific training data from a model upon request, motivated by privacy concerns and regulatory requirements such as the "right to be forgotten." Unfortunately, existing methods rely on restrictive assumptio...

CVE-2025-47950 CoreDNS Vulnerable to DoQ Memory Exhaustion via Stream Amplification

CoreDNS is a DNS server that chains plugins. In versions prior to 1.12.2, a Denial of Service DoS vulnerability exists in the CoreDNS DNS-over-QUIC DoQ server implementation. The server previously created a new goroutine for every incoming QUIC stream without imposing any limits on the number of...

Privacy Amplification through Synthetic Data: Insights from Linear Regression

Synthetic data inherits the differential privacy guarantees of the model used to generate it. Additionally, synthetic data may benefit from privacy amplification when the generative model is kept hidden. While empirical studies suggest this phenomenon, a rigorous theoretical understanding is stil...

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...

Randextract: a Reference Library to Test and Validate Privacy Amplification Implementations

Quantum cryptographic protocols do not rely only on quantum-physical resources, they also require reliable classical communication and computation. In particular, the secrecy of any quantum key distribution protocol critically depends on the correct execution of the privacy amplification step. Th...

CVE-2023-28456

An issue was discovered in Technitium through 11.0.2. It enables attackers to launch amplification attacks 3 times more than other "golden model" software like BIND and cause potential DoS...

CVE-2023-28455

An issue was discovered in Technitium through 11.0.2. The forwarding mode enables attackers to create a query loop using Technitium resolvers, launching amplification attacks and causing potential DoS...

CVE-2022-42982

BKG Professional NtripCaster 2.0.39 allows querying information over the UDP protocol without authentication. The NTRIP sourcetable is typically quite long tens of kBs and can be requested with a packet of only 30 bytes. This presents a vector that can be used for UDP amplification attacks...

CVE-2022-2576

In Eclipse Californium version 2.0.0 to 2.7.2 and 3.0.0-3.5.0 a DTLS resumption handshake falls back to a DTLS full handshake on a parameter mismatch without using a HelloVerifyRequest. Especially, if used with certificate based cipher suites, that results in message amplification DDoS other peer...

CVE-2021-21727

A ZTE product has a DoS vulnerability. A remote attacker can amplify traffic by sending carefully constructed IPv6 packets to the affected devices, which eventually leads to device denial of service. This affects:...

CVE-2019-9750

In IoTivity through 1.3.1, the CoAP server interface can be used for Distributed Denial of Service attacks using source IP address spoofing and UDP-based traffic amplification. The reflected traffic is 6 times bigger than spoofed requests. This occurs because the construction of a "4.01...

CVE-2019-6015

FON2601E-SE, FON2601E-RE, FON2601E-FSW-S, and FON2601E-FSW-B with firmware versions 1.1.7 and earlier contain an issue where they may behave as open resolvers. If this vulnerability is exploited, FON routers may be leveraged for DNS amplification attacks to some other entities...

Improper Handling of Highly Compressed Data (Data Amplification)

Overview Affected versions of this package are vulnerable to Improper Handling of Highly Compressed Data Data Amplification via a specially crafted wxapkg file. An attacker can cause resource consumption by sending specially crafted zip files that exploit the decompression process and convincing ...

GO-2025-3533 Improper Handling of Highly Compressed Data (Data Amplification) in github.com/getkin/kin-openapi/openapi3filter

Improper Handling of Highly Compressed Data Data Amplification in github.com/getkin/kin-openapi/openapi3filter...

CVE-2024-54016

Improper Handling of Highly Compressed Data Data Amplification vulnerability in Apache Seata incubating. This issue affects Apache Seata incubating: through =2.2.0. Users are recommended to upgrade to version 2.3.0, which fixes the issue...

Asymmetric Resource Consumption (Amplification)

Overview Affected versions of this package are vulnerable to Asymmetric Resource Consumption Amplification through the parse.ParseUnverified function. An attacker can cause excessive memory allocation by sending a crafted request with many period characters in the Authorization header. Remediatio...

Improper Handling of Highly Compressed Data (Data Amplification)

Overview Affected versions of this package are vulnerable to Improper Handling of Highly Compressed Data Data Amplification due to the improper handling of highly compressed data. An attacker can cause the server to become unresponsive and exhaust system memory by uploading and repeatedly parsing...