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Earlier sources: Security
Digital security protects systems, software, accounts, and information from misuse. Explore cybersecurity, vulnerabilities, threat intelligence, cryptography, privacy, and identity, with links to the underlying advisories and research.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗649 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- GitHub · Repository created · First archived
huuhoa143/proxy-farm ↗
Turn your VPN account into dozens of local SOCKS5/HTTP proxy ports — one exit location per port, with kill-switch, self-healing tunnels and a web UI.
- GitHub · Repository created · First archived
idkrandombuilds/SINdle ↗
A hidden, password protected library for your most secret Kindle books. KoReader Patch.
- GitHub · Repository created · First archived
ali-rajabpour/ZoDAV ↗
Private, self-hosted Zotero WebDAV file sync over Tailscale or Headscale, plus zodav-audit: conformance, integrity and repair checks for any Zotero WebDAV server.
- GitHub · Repository created · First archived
SysAdminDoc/HushTelegram ↗
HushTelegram v0.0.9: Morphe patches that take sponsored messages, search ads, Stories and upsells out of Telegram and keep its usage reports on your phone. 25 patches for Telegram 12.10.6.
- Hacker News · Posted on Hacker News · First archived
Google announces Gemini 4, restricts access to 'trusted cyber defenders' ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Protocol-Conditioned Feature Analysis, Multi-Dataset Intrusion Detection, and Context-Aware Alert Prioritization for IoT Network Security ↗
Internet of Things (IoT) malware and intrusions generate network-observable flow patterns, but high benchmark accuracy does not by itself establish transfer to new environments. This study presents Protocol-conditioned Analysis with Behavioral Threat Identification (PA-BTI) as an evidence-bounded framework combining dataset-specific Random Forest/XGBoost detection, protocol-conditioned direction-invariant CorrAUC (dCorrAUC) diagnostics, a River streaming diagnostic, and context-aware alert prioritization. Across the primary evaluations, selected operating points reached 99.77% accuracy with 0.…
- OpenAlex · Published · First archived
A secure and explainable phishing detection framework using deep learning and LLM-based reasoning ↗
Existing phishing detection systems face a persistent trade-off: feature-based classical models offer interpretability but sacrifice accuracy on evolving attack patterns, while deep learning models achieve strong accuracy but function as opaque black boxes that provide security analysts with only a label and a confidence score, not actionable reasoning. Recent efforts to close this gap with large language models (LLMs) introduce their own risks hallucination and prompt injection that remain largely unaddressed in prior phishing-detection literature. To resolve these limitations, this paper pro…
- OpenAlex · Published · First archived
Insecure Coding Preferences in Long-Term Memory: Security Risks for LLM-Based Code Generation ↗
LLM-based systems increasingly incorporate long-term memory to improve cross-session continuity. However, once insecure coding preferences are stored, they may silently influence security-critical decisions in subsequent generations. In this study, we conduct the first systematic empirical study on the impact of insecure coding preferences stored in long-term memory on the security of LLM-based code generation. We evaluate four LLMs (ChatGPT, Gemini, Qwen, and Grok) across five programming languages (Python, C, C++, Go, and JavaScript). Our results show that insecure memories significantly inc…
- OpenAlex · Published · First archived
A privacy-preserving framework for continuous mobile authentication using digital twins and multimodal biometrics ↗
Background One-time mobile authentication remains vulnerable to post-login compromise. Biometric templates, once exposed, cannot be revoked. Continuous authentication that models user behavior and physiology over time can improve post-login security, but it must preserve privacy, resist spoofing and replay, and demonstrate measurable performance under realistic data conditions. Methods We propose and empirically evaluate a layered Digital Twin framework for continuous mobile authentication using passive smartphone and wearable signals. The pipeline includes sensor ingestion, feature extraction…
- OpenAlex · Published · First archived
SAGE: Signal-Amplified Guided Embeddings for Vulnerability Detection ↗
Software vulnerabilities are a primary threat to modern infrastructure. While static analysis and Graph Neural Networks have long served as the foundation for vulnerability detection, the emergence of Large Language Models (LLMs) has introduced a transformative paradigm driven by superior semantic reasoning and cross-environment generalization. However, in the context of LLM-based vulnerability detection, we identify a fundamental bottleneck in these models termed Signal Submersion : a state where features related to vulnerability are activated internally but numerically overwhelmed by dominan…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Security
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.