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how to pivot through networks using ssh tunneling

How to Pivot Through Networks Using SSH Tunneling

Network pivoting is one of the most critical techniques in internal penetration testing. Once you’ve compromised an internet-facing host, you rarely stop there – the real targets (domain controllers, database servers, internal APIs) are buried deeper in network segments with no direct internet access. Pivoting lets you route your attack traffic through a compromised host […]

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identity attack paths header

Identity-First Pentesting: Testing Login-Based Attack Paths Across Entra ID, Okta, and AWS

Type: Methodology GuideDomain: Offensive Security / IdentityAudience: Red teamers, penetration testers, offensive security engineers Introduction: Identity Is the Perimeter In 2026, credential-based attacks account for the initial access vector in the majority of confirmed breaches. The perimeter dissolved – cloud-first organizations replaced VPNs and firewalls with identity providers. Entra ID, Okta, and AWS IAM are

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sqli anatomy header

OWASP Top 10 for Pentesters: SQL Injection Deep Dive

TL;DR SQL Injection remains OWASP A03:2021 (Injection) and one of the most critical web vulnerabilities you will encounter. This post covers manual detection techniques (error-based, union-based, time-based blind, boolean-based blind), SQLMap automation essentials, WAF bypass strategies, and how to write a finding report that will actually get remediated. Skip to the section you need –

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cve 2024 8309 injection flow

LangChain Prompt Injection via Graph Chains: How LLMs Become the Injection Vector (CVE-2024-8309)

Type: Threat Intelligence / CVE AnalysisDomain: AI/ML Security / LLM Application SecurityCVE: CVE-2024-8309Affected Component: langchain-community < 0.2.19Severity: High (broad DB credentials) / Medium (read-only scoping) The Attack Class Before the CVE Before getting into the specifics of CVE-2024-8309, it is worth naming the attack class clearly: LLM-mediated injection. Traditional SQL injection works because user input

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ssrf exploitation techniques

SSRF Exploitation Techniques in 2026

TL;DR: Server-Side Request Forgery remains one of the most impactful vulnerability classes in cloud-hosted applications. In 2026, SSRF is routinely used to steal cloud credentials via metadata endpoints, pivot to internal services, and chain into RCE. This post covers the full exploitation spectrum: cloud metadata abuse, blind SSRF via DNS callbacks, protocol smuggling with gopher://,

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network pentesting

Network Penetration Testing Quick-Reference Cheat Sheet

TL;DR Phase Primary Tools Key Goal Recon nmap, masscan, Shodan, Censys Map the attack surface Service Enum enum4linux, crackmapexec, snmpwalk, ldapsearch Identify exploitable services Initial Access Responder, ntlmrelayx, Metasploit Gain first foothold Lateral Movement impacket (psexec, wmiexec, smbexec), CrackMapExec Expand access Common Findings – Default creds, plaintext protocols, unauthed services Target Audience Mid-level pentesters conducting

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shadow credentials

Shadow Credentials: Attack & Defense Guide (msDS-KeyCredentialLink)

Category: Active Directory | Credential Access | Kerberos AbuseAudience: Blue Team / DefendersSeverity: High – enables domain privilege escalation without password knowledge TL;DR Shadow Credentials is an Active Directory attack that lets an adversary authenticate as any user or computer account by writing a rogue cryptographic key to the msDS-KeyCredentialLink attribute – no password required.

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