Discovered Vulnerabilities & Security Research

Every entry below is backed by a direct, verifiable external proof link — including official upstream acknowledgments in Samba and Zero-Breach (@okba14), plus archived research on CERN Zenodo.

Official Samba Merge Request 2024–2025
Samba Team (GitLab MR !4239)

Samba CTDB Socket Handling Vulnerability — Upstream Acknowledgment

Discovered and responsibly disclosed a security flaw in Samba's Clustered Trivial Database (CTDB) socket handling and IPC lifecycle management, officially merged and acknowledged by the Samba Team.

Technical Impact & Verification:

Fixed socket descriptor and path handling issues in clustered Samba deployments, preventing IPC desynchronization and potential local security boundary violations.

SambaC AuditingCTDB SocketFuzzingIPC SecurityUpstream Patch
Credited Vulnerability (@okba14) 2025
Zero-Breach Upstream (GitHub PR #8)

Zero-Breach Security Vulnerability Discovery — Credited as @okba14

Identified, reported, and helped remediate a critical security vulnerability in the Zero-Breach project on GitHub, receiving official upstream acknowledgment and documentation under handle @okba14.

Technical Impact & Verification:

Uncovered and resolved a security vulnerability in Zero-Breach, strengthening memory and execution safety with direct upstream attribution to @okba14.

Zero-BreachVulnerability DiscoveryFuzzingSecurity Auditokba14GitHub Advisory
Zenodo Publication 2024
Zenodo (CERN Repository)

Entropy Patterns in 24-Word Mnemonic Phrases

Formal research publication on statistical entropy anomalies, bit distribution variance, and checksum constraints within BIP39 24-word deterministic cryptocurrency key derivation.

Technical Impact & Verification:

Provided cryptographic analysis of entropy distribution constraints in high-length mnemonic seed phrases used across hardware and software wallets.

BIP39Entropy AnalysisCryptanalysisMnemonic PhrasesZenodoC/Python
Technical Publication 2022
Security Research Blog (Hashnode)

Statistical Weaknesses in BIP39 Seed Phrases & Real-World Implications

Comprehensive investigation into non-uniform entropy sampling, bias in word selection algorithms, and real-world attack vectors in cryptocurrency wallet generation systems.

Technical Impact & Verification:

Demonstrated real-world entropy degradation scenarios when client-side wallet generators fail to enforce true hardware entropy gathering.

Cryptocurrency SecurityBIP39Seed PhrasesPRNG BiasCryptanalysis
Fuzzing & Security Ethics

Methodology & Responsible Disclosure

Vulnerabilities are uncovered using coverage-guided fuzzing (AFL++), custom fuzzing harnesses developed in-house, and manual C/C++ source auditing. All findings are responsibly reported to upstream maintainers to ensure patches are merged and users are protected before public disclosure.