50 matches found
xtride
XTRIDE: N-gram 기반 실용적 타입 복구 소개 우리는 XTRIDE를 제시합니다. 이는 바이너리 타입 복구를 위한 개선된 n-gram 기반참고: STRIDE 접근법으로, 실용성에 초점을 맞추고 있습니다: 최적화된 높은 처리량과 실행 가능한 신뢰도 점수를 통해 자동화 파이프라인에 배포할 수 있습니다. 구조체 복구 분야의 최신 기술과 비교할 때, 우리의 방법은 70배에서 2300배 더 빠르면서도 유사한 성능을 달성합니다. 빌드 방법 ./bin 디렉토리의 CLI 도구는 hdf5용 1.8.4 이상 버전 라이브러리가 설치되어 있...
reverse-SynthID-text
SynthID 워터마크 리버스 엔지니어링 개요 이 디렉토리는 AI 생성 텍스트에서 SynthID 워터마크를 분석하고 제거하기 위한 도구를 포함합니다. 이 워터마크는 Google DeepMind가 개발하여 Nature 2024에 게재되었습니다. SynthID 작동 방식 워터마킹 과정 1. N-gram 컨텍스트 : 각 토큰 위치에 대해 SynthID는 이전 ngramlen - 1개 토큰기본값: 4개 토큰을 컨텍스트로 간주합니다. 2. 해시 계산 : 다음 항목들의 해시를 계산합니다: 컨텍스트 토큰 후보 다음 토큰 비밀 워터마킹 키...
kbd-audio
kbd-audio 이것은 오디오 데이터를 캡처하고 분석하기 위한 명령줄 및 GUI 도구 모음입니다. Keytap 가장 흥미로운 도구는 keytap 입니다. 이 도구는 컴퓨터 마이크에서 캡처한 오디오만 분석하여 누른 키보드 키를 추측할 수 있습니다. 자세한 내용은 다음 블로그 게시물을 확인하세요: Keytap: 설명 및 몇 가지 생각 동영상: Keytap의 짧은 데모 온라인에서 사용해 보기: Keytap2 keytap2 도구는 오디오에서 텍스트를 복구하는 또 다른 흥미로운 도구입니다. 이 도구는 학습 데이터가 필요하지 않으며, ...
Pegasus-Gram
Pegasus-Gram – 고급 키로거 및 사이버 모니터링 도구 모음 🕵️♂️ 작성자: Letda Kes dr. Sobri, S.Kom 📧 연락처: [email protected] 🐙 GitHub: github.com/sobri3195 💰 프로젝트 지원: Lynk.id를 통한 기부 Pegasus-Gram은 Telegram과 통합된 Python 기반의 고급 키로거 및 사이버 감시 도구입니다. 이 도구는 윤리적 해킹 시뮬레이션, 레드팀 작전 및 승인된 사이버 보안 감사를 위해 설계되었습니다. 다양한 시스템 활동을 캡처하여...
CVE-2025-69048
creationtimestamp| type| source ---|---|--- 2026-01-27 17:25:57+00:00| seen| Telegram/zQovba3jq34R8mOIwo4UQbXIwilVvhjiGRRMMjnKXHFewE...
JLSEC-2025-174 An issue was discovered in GNU gettext 0.19.8
An issue was discovered in GNU gettext 0.19.8. There is a double free in defaultaddmessage in read-catalog.c, related to an invalid free in pogramparse in po-gram-gen.y, as demonstrated by lt-msgfmt...
NewStart CGSL MAIN 6.06 : gettext Vulnerability (NS-SA-2025-0218)
The remote NewStart CGSL host, running version MAIN 6.06, has gettext packages installed that are affected by a vulnerability: - An issue was discovered in GNU gettext 0.19.8. There is a double free in defaultaddmessage in read- catalog.c, related to an invalid free in pogramparse in po-gram-gen....
Malicious Package
Overview gram-utilz is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization and this package authorship...
Malicious code in gram-utilz (npm)
The package gram-utilz was found to contain malicious code. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware f7c772fd2d6b9f919249def32fb96f26a08cf5bf3ebf008ab12736e774021864 Any computer that has this package installed or running should be considered fully compromise...
MAL-2025-47061 Malicious code in gram-utilz (npm)
The package gram-utilz was found to contain malicious code. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware f7c772fd2d6b9f919249def32fb96f26a08cf5bf3ebf008ab12736e774021864 Any computer that has this package installed or running should be considered fully compromise...
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...
MalVis: a Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification
As technology advances, Android malware continues to pose significant threats to devices and sensitive data. The open-source nature of the Android OS and the availability of its SDK contribute to this rapid growth. Traditional malware detection techniques, such as signature-based, static, and...
Residual-Evasive Attacks on ADMM in Distributed Optimization
This paper presents two attack strategies designed to evade detection in ADMM-based systems by preventing significant changes to the residual during the attacked iteration. While many detection algorithms focus on identifying false data injection through residual changes, we show that our attacks...
Scalable APT Malware Classification Via Parallel Feature Extraction and GPU-Accelerated Learning
This paper presents an underlying framework for both automating and accelerating malware classification, more specifically, mapping malicious executables to known Advanced Persistent Threat APT groups. The main feature of this analysis is the assembly-level instructions present in executables whi...
Malicious Code Detection in Smart Contracts Via Opcode Vectorization
With the booming development of blockchain technology, smart contracts have been widely used in finance, supply chain, Internet of things and other fields in recent years. However, the security problems of smart contracts become increasingly prominent. Security events caused by smart contracts...
OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques
This technical report presents a comprehensive analysis of malware classification using OpCode sequences. Two distinct approaches are evaluated: traditional machine learning using n-gram analysis with Support Vector Machine SVM, K-Nearest Neighbors KNN, and Decision Tree classifiers; and a deep...
[SECURITY] Fedora 40 Update: jglobus-2.1.0-35.fc40
jglobus is a collection of Java client libraries for Globus Toolkit security, GRAM, GridFTP and MyProxy...
CVE-2023-48848
creationtimestamp| type| source ---|---|--- 2023-12-20 08:01:58+00:00| seen| https://t.me/ctinow/156791...
ALSA-2023:4570 Important: iperf3 security update
Iperf is a tool which can measure maximum TCP bandwidth and tune various parameters and UDP characteristics. Iperf reports bandwidth, delay jitter, and data-gram loss. Security Fixes: iperf3: memory allocation hazard and crash CVE-2023-38403 For more details about the security issues, including t...
SUSE CVE-2018-18751
An issue was discovered in GNU gettext 0.19.8. There is a double free in defaultaddmessage in read-catalog.c, related to an invalid free in pogramparse in po-gram-gen.y, as demonstrated by lt-msgfmt...