Network Pivoting using Ligolo-MP – Complete Guide

This guide demonstrates how Ligolo‑MP enables collaborative, large‑scale network pivoting by managing agents, TUN devices, proxies, routes, and redirectors to reach isolated internal subnets. Through step‑by‑step lab exercises—single and double pivots, loopback routing to access localhost‑bound services, and agent obfuscation—the article shows how attackers can traverse segmented networks and reach a Domain Controller. #LigoloMP #DomainController

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Active Directory Enumeration: Net RPC

This article demonstrates how net rpc (Samba) can be used to perform reconnaissance, privilege escalation, and persistence against the ignite.local Active Directory domain controller at 192.168.1.11. It walks through user/group enumeration and manipulation, privilege grants (e.g., SeBackupPrivilege), remote registry changes to enable RDP, and recommended mitigations for defenders. #net_rpc #ignite_local

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Anthropic Claude Mythos Will Break Vulnerability Management

Anthropic’s Claude Mythos is rapidly discovering and weaponizing vulnerabilities—reportedly identifying over 2,000 high-severity flaws across major operating systems and web browsers—undermining traditional vulnerability management models. Its controlled rollout under Project Glasswing enables exploit development in minutes rather than months, forcing organizations to adopt AI-driven development and patching processes or risk rapid compromise. #ClaudeMythos #ProjectGlasswing

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AI Governance Frameworks in 2026: What Compliance Actually Requires

Three major AI compliance deadlines converge in 2026 — the EU AI Act reaches full enforcement on August 2, Colorado’s AI Act takes effect June 30, and California’s procurement executive order imposes strict vendor certification requirements. Most enterprises have policies but lack complete AI inventories, audit trails, and clear accountability, exposing them to fines and procurement exclusions under frameworks like the EU AI Act and NIST AI RMF. #EUAIAct #NISTAI_RMF

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Why AI Does Not Need to be Innovative to be Dangerous

AI-driven attacks are often overhyped because LLMs are optimized for probable outputs and suffer hallucinations and nondeterminism, making fully autonomous, reliable malware impractical today. Yet AI can industrialize mediocre attacks and scale commodity exploitation against standardized environments, raising the baseline risk for many organizations. #TransparentTribe #EggStreme

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Active Directory Enumeration: pywerview

An authenticated enumeration using pywerview against ignite.local with low-privileged credentials (‘raj’) exposed extensive Active Directory information including users, computers, groups, delegation settings, and SPN-registered accounts. Critical misconfigurations include a Domain Admin account (‘aaru’), a Kerberoastable SPN account (‘kavish’) with constrained delegation to WIN-SQL, unconstrained delegation on multiple hosts, and a Backup Operators member (‘shivam’) who could be leveraged for credential extraction. #ignite.local #pywerview

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AI Coding Tools Default to Insecure Patterns: The 5-Minute Rules File Fix

AI coding tools trained on public codebases tend to default to insecure patterns, and persistent security rules files can enforce safer outputs. Attackers can poison those rules files with invisible Unicode to instruct models to inject backdoors and exfiltrate data, as demonstrated by Pillar Security against Cursor and GitHub Copilot. #RulesFileBackdoor #PillarSecurity

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AI Will Change Cybersecurity. Humans Will Define Its Success. A Lesson No Algorithm Can Teach

An organization with mature, AI-driven security tooling stalled because ownership disputes and misaligned perceptions of risk prevented decisive action. Reframing technical findings into business impact, benchmarking against peers, and empowering trusted advisors restored accountability and drove remediation. #Sygnia #IsraelNationalCyberDirectorate

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NTLM Reflection Attack

Attackers abuse misconfigured Unconstrained Delegation and NTLM reflection/relay to coerce high-value systems into authenticating to attacker-controlled hosts, allowing capture of Kerberos TGTs and escalation from a low-privileged user to full domain compromise without any software zero-day. Effective mitigations include enforcing SMB signing, disabling unconstrained delegation, restricting NTLM, and monitoring Kerberos/DCSync activity. #UnconstrainedDelegation #NTLMRelay

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Privacy & Cybersecurity #65

This roundup summarizes recent national and subnational laws and regulatory guidance shaping data, AI, and communications security across Germany, the UK, Poland, multiple U.S. states, and the FCC. Key developments include Germany’s Data Act Implementation (DADG) with BNetzA enforcement, updated ICO ADM guidance, Poland’s KRiBSI AI supervision draft, California’s Executive Order N‑5‑26 on AI procurement, Utah’s SB 73 age‑verification and SEDI initiatives, New York’s S8828 frontier model rules, and the FCC’s addition of foreign‑made consumer routers to its Covered List. #DADG #ICO

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Hardcoded Secrets in AI-Generated Code: Catch Them Before Git Does

AI coding models frequently insert hardcoded credentials into generated code because they learned “working” patterns from public repositories, which puts secrets into source files, git history, and client-side bundles. Prevent with a fast pre-commit scanner and deep-history verification—Gitleaks blocks commits while TruffleHog scans history and verifies live credentials to prioritize rotation. #Gitleaks #TruffleHog

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