安全
4,732 个结果
- Exploiting Type Juggling VulnerabilitiesMahipalExploits PHP type juggling vulnerabilities caused by loose (==) comparison operators to bypass authentication, defeat hash verification via magic hashes, and manipulate application logic through type coercion. Use when pentesting PHP applications that compare user input with ==, in_array, or hash functions without strict type checks.
- Exploiting Vulnerabilities With Metasploit FrameworkMahipalUses the Metasploit Framework (msfconsole and its exploit, auxiliary, and post-exploitation modules) to validate that identified CVEs and vulnerabilities are actually exploitable, gather post-exploitation evidence, and confirm patch remediation.
- Exploiting Websocket VulnerabilitiesMahipalTesting WebSocket implementations for authentication bypass, cross-site hijacking, injection attacks, and insecure message handling during authorized security assessments.
- Exploiting Zerologon Vulnerability Cve 2020 1472MahipalExploits the Zerologon vulnerability (CVE-2020-1472) in the Netlogon Remote Protocol using Impacket to reset a domain controller's machine account password to empty, then runs DCSync via secretsdump.py to dump domain credentials. Use when red-teaming or validating unpatched Active Directory domain controllers for Zerologon, including restoring the machine account password afterward.
- Extracting Browser History ArtifactsMahipalExtracts and analyzes browser history, cookies, cache, downloads, and bookmarks from Chrome, Firefox, and Edge using sqlite3, DB Browser for SQLite, Hindsight, and NirSoft tools (BrowsingHistoryView, ChromeCacheView, MZCacheView). Use when performing digital forensics or incident response on a disk image or live system and you need timeline evidence of a user's web activity.
- Extracting Config From Agent Tesla RatMahipalExtracts embedded configuration from Agent Tesla RAT samples, including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints, via .NET decompilation and memory analysis. Use when analyzing a suspected or confirmed Agent Tesla sample and you need to recover its exfiltration channel and C2 configuration for threat intelligence or incident response.
- Extracting Credentials From Memory DumpMahipalExtracts cached credentials, password hashes, Kerberos tickets, and authentication tokens from Windows memory dumps using Volatility 3, Mimikatz, and pypykatz. Use when performing memory forensics or incident response on an LSASS or full memory dump and you need to recover credentials or Kerberos material for investigation.
- Extracting Iocs From Malware SamplesMahipalExtracts indicators of compromise (IOCs) from malware samples, including file hashes, network indicators (IPs, domains, URLs, PCAP indicators), host artifacts (file paths, registry keys, mutexes), and behavioral patterns, using tools like CyberChef, then defangs and exports them in standard threat-intel formats.
- Extracting Memory Artifacts With RekallMahipalUses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract forensic artifacts from Windows memory images. Use during incident response memory analysis.
- Fleet Hunting With VelociraptorMahipalDeploy a Velociraptor server and agents, then author VQL (Velociraptor Query Language) artifacts and run them as fleet-wide hunts, on-demand forensic collections, or standalone offline collectors. Use when hunting a TTP across hundreds or thousands of endpoints, collecting forensic artifacts during incident response without re-imaging, or generating collectors for unmanaged/air-gapped hosts.
- Generating And Analyzing SbomsMahipalGenerate CycloneDX and SPDX SBOMs from container images and filesystems with Syft, correlate them to CVEs with Grype, and sign/attest them with Cosign. Use when you need a machine-readable dependency inventory for supply-chain risk, want to scan images or SBOMs for known vulnerabilities, or are embedding SBOM generation and vulnerability gating into CI/CD.
- Generating Forensic Timelines With HayabusaMahipalRun Hayabusa against collected Windows EVTX files to apply Sigma detection rules and produce a prioritized, chronological CSV/JSON timeline with severity levels, MITRE ATT&CK mappings, and per-host/per-Event-ID metrics. Use during DFIR triage to turn raw event logs into a fast, SIEM-free incident timeline, or to export results into Timesketch or Timeline Explorer for collaborative analysis.
- Generating Threat Intelligence ReportsMahipalGenerates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical analysts. Use when producing finished intelligence products from raw collection data, creating sector threat briefings, or delivering post-incident intelligence assessments.
- Hardening Docker Containers For ProductionMahipalHardens Dockerfiles, images, and per-container runtime settings against the CIS Docker Benchmark v1.8.0: non-root users, dropped capabilities, read-only root filesystem, seccomp and AppArmor profiles, and minimal multi-stage builds, validated with docker-bench-security, Hadolint, and Dockle.
- Hardening Docker Daemon ConfigurationMahipalHardens the Docker daemon (dockerd) through /etc/docker/daemon.json with user namespace remapping, TLS client authentication, seccomp profiles, and CIS Docker Benchmark controls such as icc, no-new-privileges, and live-restore. Use when securing a Docker host's daemon to prevent privilege escalation, breakout, or lateral movement, or when auditing daemon settings against CIS requirements.
- Hardening Linux Endpoint With Cis BenchmarkMahipalHardens Linux endpoints using CIS Benchmark recommendations for Ubuntu, RHEL, and CentOS to reduce attack surface, enforce security baselines, and meet compliance requirements. Use when deploying new Linux servers, remediating audit findings, or establishing security baselines for Linux infrastructure.
- Hardening Windows Endpoint With Cis BenchmarkMahipalHardens Windows endpoints using CIS (Center for Internet Security) Benchmark recommendations to reduce attack surface, enforce security baselines, and meet compliance requirements. Use when deploying new Windows workstations or servers, remediating audit findings, or establishing organization-wide security baselines.
- Hunting Advanced Persistent ThreatsMahipalProactively hunts for Advanced Persistent Threat (APT) activity within enterprise environments using hypothesis-driven searches across endpoint telemetry, network logs, and memory artifacts. Use when conducting scheduled threat hunting cycles, investigating anomalous behavior flagged by UEBA, or validating that known APT TTPs are not present in the environment.
- Hunting Bootkits In Efi System PartitionMahipalBaseline the EFI System Partition and hunt malicious EFI binaries such as ESPecter, BlackLotus, Bootkitty, and Glupteba by mounting the ESP, hashing and verifying boot loaders, scanning with YARA, and flagging anomalous non-EFI files or out-of-band bootloader changes.
- Hunting For Anomalous Powershell ExecutionMahipalHunt for malicious PowerShell activity by analyzing Script Block Logging (Event 4104), Module Logging (Event 4103), and process creation events. The analyst parses Windows Event Log EVTX files to detect obfuscated commands, AMSI bypass attempts, encoded payloads, credential dumping keywords, and suspicious download cradles.
- Hunting For Data Exfiltration IndicatorsMahipalHunt for data exfiltration by analyzing Zeek and Suricata network telemetry for unusual data flows, DNS tunneling via large/frequent TXT queries, uploads to personal cloud storage, and encrypted-channel abuse, correlated against threat intel on destination domains.
- Hunting For Dcom Lateral MovementMahipalHunt for DCOM-based lateral movement (MITRE ATT&CK T1021.003) by detecting abuse of MMC20.Application, ShellBrowserWindow, and ShellWindows COM objects via Sysmon Event ID 1/3 correlation, WMI event analysis, and RPC endpoint mapper traffic on port 135.
- Hunting For Defense Evasion Via TimestompingMahipalDetect NTFS timestamp manipulation (MITRE T1070.006) by comparing $STANDARD_INFORMATION vs $FILE_NAME timestamps in the MFT. Uses analyzeMFT and Python to identify files with anomalous temporal patterns indicating anti-forensic timestomping activity.
- Hunting For Dns Based PersistenceMahipalHunts for DNS-based persistence mechanisms such as DNS hijacking, dangling CNAME records enabling subdomain takeover, wildcard DNS abuse, and unauthorized zone or NS delegation changes, using passive DNS history (SecurityTrails API), Route53/Azure DNS/Cloudflare audit logs, and zone transfer analysis.