performing-clickjacking-attack-test
Testing web applications for clickjacking vulnerabilities by assessing frame embedding controls and crafting proof-of-concept overlay attacks during authorized security assessments.
Essential command-line tools and system utilities.
Testing web applications for clickjacking vulnerabilities by assessing frame embedding controls and crafting proof-of-concept overlay attacks during authorized security assessments.
Conduct forensic investigations in cloud environments by collecting and analyzing logs, snapshots, and metadata from AWS, Azure, and GCP services.
Perform forensic investigation of AWS environments using CloudTrail logs to reconstruct attacker activity, identify compromised credentials, and analyze API call patterns.
Uses AWS Athena to query CloudTrail, VPC Flow Logs, S3 access logs, and ALB logs for forensic investigation. Covers CREATE TABLE DDL with partition projection, forensic SQL queries for detecting unauthorized access, data exfiltration, lateral movement, and privilege escalation. Use when investigating AWS security incidents or building cloud-native forensic workflows at scale.
Hunt for threats in AWS environments using Detective behavior graphs, entity investigation timelines, GuardDuty finding correlation, and automated entity profiling across IAM users, EC2 instances, and IP addresses.
Perform forensic acquisition and analysis of cloud storage services including Google Drive, OneDrive, Dropbox, and Box by collecting both API-based remote data and local sync client artifacts from endpoint devices.
Detects container escape attempts by analyzing namespace configurations, privileged container checks, dangerous capability assignments, and host path mounts using the kubernetes Python client. Identifies CVE-2022-0492 style escapes via cgroup abuse. Use when auditing container security posture or investigating escape attempts.
A cryptographic audit systematically reviews an application's use of cryptographic primitives, protocols, and key management to identify vulnerabilities such as weak algorithms, insecure modes, hardco
Leverage the CISA Known Exploited Vulnerabilities catalog alongside EPSS and CVSS to prioritize CVE remediation based on real-world exploitation evidence.
Dark web monitoring involves systematically scanning Tor hidden services, underground forums, paste sites, and dark web marketplaces to identify threats targeting an organization, including leaked cre
Testing web applications for path traversal vulnerabilities that allow reading or writing arbitrary files on the server by manipulating file path parameters.
Conducts disk forensics investigations using forensic imaging, file system analysis, artifact recovery, and timeline reconstruction to support incident response cases. Utilizes tools such as FTK Imager, Autopsy, and The Sleuth Kit for evidence acquisition, deleted file recovery, and artifact examination. Activates for requests involving disk forensics, hard drive analysis, forensic imaging, file recovery, evidence acquisition, or digital forensic investigation.
Detects DNS tunneling by computing Shannon entropy of DNS query names, analyzing query length distributions, inspecting TXT record payloads, and identifying high subdomain cardinality. Uses scapy for packet capture analysis and statistical methods to distinguish legitimate DNS from covert channels. Use when hunting for data exfiltration.
Performs runtime dynamic analysis of Android applications using Frida, Objection, and Android Debug Bridge to observe application behavior during execution, intercept function calls, modify runtime values, and identify vulnerabilities that static analysis misses. Use when testing Android apps for runtime security flaws, hooking sensitive methods, bypassing client-side protections, or analyzing obfuscated applications. Activates for requests involving Android dynamic analysis, runtime hooking, Frida Android instrumentation, or live app behavior analysis.
Performs interactive dynamic malware analysis using the ANY.RUN cloud sandbox to observe real-time execution behavior, interact with malware prompts, and capture process trees, network traffic, and system changes. Activates for requests involving interactive sandbox analysis, cloud-based malware detonation, real-time behavioral observation, or ANY.RUN usage.
Performs digital forensics investigation on compromised endpoints including memory acquisition, disk imaging, artifact analysis, and timeline reconstruction. Use when investigating security incidents, collecting evidence for legal proceedings, or analyzing endpoint compromise scope. Activates for requests involving endpoint forensics, memory analysis, disk forensics, or incident investigation.
Performs vulnerability remediation on endpoints by prioritizing CVEs based on risk scoring, deploying patches, applying configuration changes, and validating fixes. Use when remediating findings from vulnerability scans, responding to critical CVE advisories, or maintaining endpoint compliance with patch management SLAs. Activates for requests involving vulnerability remediation, CVE patching, endpoint vulnerability management, or security fix deployment.
Performs firmware image extraction and analysis using binwalk to identify embedded filesystems, compressed archives, bootloaders, kernel images, and cryptographic material. Covers entropy analysis for detecting encrypted or compressed regions, recursive extraction of nested archives, SquashFS/CramFS/JFFS2 filesystem mounting, and string analysis for credential and configuration discovery. Activates for requests involving firmware reverse engineering, IoT device analysis, embedded system security assessment, or router/camera firmware extraction.
Analyzes firmware images for embedded malware, backdoors, and unauthorized modifications targeting routers, IoT devices, UEFI/BIOS, and embedded systems. Covers firmware extraction, filesystem analysis, binary reverse engineering, and bootkit detection. Activates for requests involving firmware security analysis, IoT malware investigation, UEFI rootkit detection, or embedded device compromise assessment.
Perform coverage-guided fuzzing of compiled binaries using AFL++ (American Fuzzy Lop Plus Plus) to discover memory corruption, crashes, and security vulnerabilities. The tester instruments target binaries with afl-cc/afl-clang-fast, manages input corpora with afl-cmin and afl-tmin, runs parallel fuzzing campaigns with afl-fuzz, and triages crashes using CASR or GDB scripts. Activates for requests involving binary fuzzing, crash discovery, coverage-guided testing, or AFL++ fuzzing campaigns.
Execute and test GraphQL depth limit attacks using deeply nested recursive queries to identify denial-of-service vulnerabilities in GraphQL APIs.
Performs GraphQL introspection attacks to extract the full API schema including types, queries, mutations, subscriptions, and field definitions from GraphQL endpoints. The tester uses introspection queries to map the attack surface, identifies sensitive fields and mutations, tests for query depth and complexity limits, and exploits GraphQL-specific vulnerabilities including batching attacks, alias-based brute force, and nested query DoS. Activates for requests involving GraphQL security testing, introspection attack, GraphQL enumeration, or GraphQL API penetration testing.
Assessing GraphQL API endpoints for introspection leaks, injection attacks, authorization flaws, and denial-of-service vulnerabilities during authorized security tests.
Perform comprehensive ICS/OT asset discovery using Claroty xDome platform, leveraging passive monitoring, Claroty Edge active queries, and integration ecosystem to gain full visibility into industrial control system assets including PLCs, RTUs, HMIs, and network infrastructure across Purdue Model levels.