“network-forensics”的搜索结果

Analyze DNS logs for signs of hidden command traffic and data theft. Use character randomness, query timing, TXT record inspection, and machine learning to identify suspicious domains and support security monitoring rules.

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• Investigating suspected DNS tunneling
• Classifying algorithmically generated domains
• Detecting periodic DNS beacon traffic

Analyze Zeek network logs to find lateral movement, when an intruder spreads between internal computers. Examine administrative file sharing, authentication across multiple hosts, and remote service operations to identify suspicious connections and reconstruct incident timelines.

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• Tracing spread to other computers after an initial compromise
• Investigating unauthorized transfers to administrative shares
• Finding one account authenticating to many internal hosts

Analyze Zeek and NetFlow records for ransomware-related activity, including regular callbacks to attacker infrastructure, TOR connections, and possible data exfiltration. Combine indicators into risk scores and structured reports with timelines to support threat hunting and incident investigation.

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• Hunting for active ransomware network activity
• Investigating possible data theft before encryption
• Checking periodic callbacks and TOR connections

Use Scapy, a Python library for working with network packets, to inspect saved captures or authorized live traffic. Summarize protocols and connections, identify suspicious patterns, craft test packets, and export findings as structured JSON reports.

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• Investigating saved network captures
• Summarizing traffic volumes, protocols, and connection endpoints
• Checking for SYN floods and DNS data leakage indicators

Investigate captured network traffic and connection records with Wireshark, Zeek, and NetFlow analysis. Identify communications with attacker infrastructure, trace movement between internal systems, estimate data transfers, and produce findings linked to packet evidence and timestamps.

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• Investigating suspicious periodic connections
• Measuring the volume and destination of data transfers
• Tracing attacker movement between internal systems

Examine captured network traffic for hidden malware communications in DNS, ICMP, and HTTP. Analyze domain patterns, packet sizes, and traffic frequency to identify suspicious channels used for remote control or data theft.

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• Investigating suspicious DNS, ICMP, or HTTP traffic
• Hunting for hidden malware control channels in packet captures
• Assessing possible data theft through unusual network traffic

Detect lateral movement in network traffic using Zeek (formerly Bro) log analysis. Parses conn.log, smb_mapping.log, smb_files.log, dce_rpc.log, kerberos.log, and ntlm.log to identify SMB file transfers, NTLM account spray activity, remote service execution, and anomalous internal connections.

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Detects command-and-control (C2) communications tunneled through DNS protocol including DNS tunneling tools (Iodine, dnscat2, dns2tcp, Cobalt Strike DNS beacon), domain generation algorithms (DGA), encoded payload delivery via TXT/CNAME records, and DNS beaconing patterns. Covers Shannon entropy analysis of query subdomains, statistical anomaly detection, ML-based DGA classification, passive DNS correlation, and Zeek/Suricata signature development. Activates for requests involving DNS-based C2 detection, DNS tunnel identification, suspicious DNS traffic investigation, or DGA domain classification.

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Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly detection in authorized security testing

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Identify ransomware network indicators including C2 beaconing patterns, TOR exit node connections, data exfiltration flows, and encryption key exchange via Zeek conn.log and NetFlow analysis

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Analyzes network traffic captures and flow data to identify adversary activity during security incidents, including command-and-control communications, lateral movement, data exfiltration, and exploitation attempts. Uses Wireshark, Zeek, and NetFlow analysis techniques. Activates for requests involving network traffic analysis, packet capture investigation, PCAP analysis, network forensics, C2 traffic detection, or exfiltration detection.

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Detect and analyze covert communication channels used by malware including DNS tunneling, ICMP exfiltration, steganographic HTTP, and protocol abuse for C2 and data exfiltration.

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Expert en forensique numérique avancée (disk imaging, memory analysis, network forensics, reporting, chain of custody, incident response)

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Expert en forensique numérique (disk imaging, memory analysis, network forensics, chain of custody)

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Digital forensics v3 — disk imaging, memory analysis, network forensics, chain of custody, legal

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Detect lateral movement in network traffic using Zeek (formerly Bro) log analysis. Parses conn.log, smb_mapping.log, smb_files.log, dce_rpc.log, kerberos.log, and ntlm.log to identify SMB file transfers, Pass-the-Hash activity, remote service execution, and anomalous internal connections.

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Detects command-and-control (C2) communications tunneled through DNS protocol including DNS tunneling tools (Iodine, dnscat2, dns2tcp, Cobalt Strike DNS beacon), domain generation algorithms (DGA), encoded payload delivery via TXT/CNAME records, and DNS beaconing patterns. Covers Shannon entropy analysis of query subdomains, statistical anomaly detection, ML-based DGA classification, passive DNS correlation, and Zeek/Suricata signature development. Activates for requests involving DNS-based C2 detection, DNS tunnel identification, suspicious DNS traffic investigation, or DGA domain classification.

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Identify ransomware network indicators including C2 beaconing patterns, TOR exit node connections, data exfiltration flows, and encryption key exchange via Zeek conn.log and NetFlow analysis

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Analyzes network traffic captures and flow data to identify adversary activity during security incidents, including command-and-control communications, lateral movement, data exfiltration, and exploitation attempts. Uses Wireshark, Zeek, and NetFlow analysis techniques. Activates for requests involving network traffic analysis, packet capture investigation, PCAP analysis, network forensics, C2 traffic detection, or exfiltration detection.

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Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly detection in authorized security testing

中文简介正在准备中。当前显示原文说明。

Detect and analyze covert communication channels used by malware including DNS tunneling, ICMP exfiltration, steganographic HTTP, and protocol abuse for C2 and data exfiltration.

中文简介正在准备中。当前显示原文说明。

Detect lateral movement in network traffic using Zeek (formerly Bro) log analysis. Parses conn.log, smb_mapping.log, smb_files.log, dce_rpc.log, kerberos.log, and ntlm.log to identify SMB file transfers, NTLM account spray activity, remote service execution, and anomalous internal connections.

中文简介正在准备中。当前显示原文说明。

Detects command-and-control (C2) communications tunneled through DNS protocol including DNS tunneling tools (Iodine, dnscat2, dns2tcp, Cobalt Strike DNS beacon), domain generation algorithms (DGA), encoded payload delivery via TXT/CNAME records, and DNS beaconing patterns. Covers Shannon entropy analysis of query subdomains, statistical anomaly detection, ML-based DGA classification, passive DNS correlation, and Zeek/Suricata signature development. Activates for requests involving DNS-based C2 detection, DNS tunnel identification, suspicious DNS traffic investigation, or DGA domain classification.

中文简介正在准备中。当前显示原文说明。

Identify ransomware network indicators including C2 beaconing patterns, TOR exit node connections, data exfiltration flows, and encryption key exchange via Zeek conn.log and NetFlow analysis

中文简介正在准备中。当前显示原文说明。