detecting-ransomware-precursors-in-network
Detects early-stage ransomware indicators in network traffic before encryption begins, including initial access broker activity, command-and-control…
Skill by mukul975
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: security
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/detecting-ransomware-precursors-in-network
What's inside
- Skill name
detecting-ransomware-precursors-in-network- Description
- Detects early-stage ransomware indicators in network traffic before encryption begins, including initial access broker activity, command-and-control beaconing, credential harvesting, reconnaissance scanning, and staging behavior. Uses network detection tools (Zeek, Suricata, Arkime), SIEM correlation rules, and threat intelligence feeds to identify ransomware precursor patterns such as Cobalt Strike beacons, Mimikatz network signatures, and RDP brute-force attempts. Activates for requests involving pre-ransomware detection, network-based ransomware indicators, or early warning ransomware monitoring.
- License
- Apache-2.0
- Instructions
- 270 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Files (8)
- LICENSE
- SKILL.md
- template.md · assets/
- api-reference.md · references/
- standards.md · references/
- workflows.md · references/
- agent.py · scripts/
- process.py · scripts/
SKILL.md (first lines)
# Detecting Ransomware Precursors in Network Traffic
## When to Use
- Building detection rules for pre-ransomware network activity (the average time from Cobalt Strike deployment to encryption is 17 minutes)
- Monitoring for initial access broker (IAB) indicators that precede ransomware deployment
- Creating SIEM correlation rules that chain multiple precursor events into high-confidence alerts
- Tuning network detection systems to distinguish ransomware staging from normal administrative activity
- Investigating suspicious network patterns that may indicate ransomware operators have established a foothold
**Do not use** for post-encryption response (see recovering-from-ransomware-attack). This skill focuses on the pre-encryption detection window where containment can prevent data loss.
## Prerequisites
- Network detection platform (Zeek/Bro, Suricata, or Arkime/Moloch) deployed on network TAP or SPAN ports
- SIEM platform (Splunk, Elastic Security, Microsoft Sentinel, or QRadar) ingesting network logs
- Threat intelligence feeds covering ransomware IOCs (CISA, abuse.ch, OTX, MISP)
- Network flow data (NetFlow/IPFIX) from core routers and firewalls
- DNS query logging from internal resolvers
- Full packet capture capability for incident investigation
## Workflow
### Step 1: Identify Ransomware Kill Chain Phases in Network Traffic
Map network-observable indicators to each pre-encryption phase:
| Kill Chain Phase | Network Indicators | Detection Source |
|------------------|--------------------|------------------|
| Initial Access | RDP brute force, VPN credential stuffing, phishing callback | Firewall logs, IDS, proxy logs |
| C2 Establishment | Cobalt Strike beacons (HTTPS/DNS), Sliver/Brute Ratel callbacks | Zeek SSL/HTTP logs, DNS logs |
| Credential Harvesting | NTLM relay, Kerberoasting, DCSync traffic | Zeek Kerberos/NTLM logs, DC logs |
| Reconnaissance | Internal port scanning, AD enumeration (LDAP/SMB) | Zeek conn.log, flow data |
| Lateral Movement | PsExec/WMI/WinRM traffic, RDP pivoting, SMB file copies | Zeek SMB/DCE-RPC logs |
| Staging | Data aggregation, archive creation, cloud upload prep | Proxy logs, DNS logs, DLP |
### Step 2: Deploy Network Detection Rules
**Suricata rules for common ransomware precursors:**
```yaml
# Cobalt Strike default HTTPS beacon profile detection
alert tls $HOME_NET any -> $EXTERNAL_NET any (msg:"RANSOMWARE PRECURSOR - Cobalt Strike Default TLS Certificate"; tls.cert_subject; content:"Major Cobalt Strike"; sid:3000001; rev:1;)
# Cobalt Strike DNS beacon
alert dns $HOME_NET any -> any 53 (msg:"RANSOMWARE PRECURSOR - Cobalt Strike DNS Beacon Pattern"; dns.query; pcre:"/^[a-z0-9]{3}\.[a-z]{4,8}\./"; threshold:type both, track by_src, count 50, seconds 60; sid:3000002; rev:1;)
# Mimikatz network signature (DCSync - DRS GetNCChanges)
alert tcp $HOME_NET any -> $HOME_NET 135 (msg:"RANSOMWARE PRECURSOR - Possible DCSync/Mimikatz"; content:"|05 00 0b|"; offset:0; depth:3; content:"|e3 51 4d 2b 4b 47 15 d2|"; sid:3000003; rev:1;)
# Internal network scanning (many connections, few bytes)
alert tcp $HOME_NET any -> $HOME_NET any (msg:"RANSOMWARE PRECURSOR - Internal Port Scan"; flags:S; threshold:type both, track by_src, count 100, seconds 10; sid:3000004; rev:1;)
# PsExec service installation over SMB
alert tcp $HOME_NET any -> $HOME_NET 445 (msg:"RANSOMWARE PRECURSOR - PsExec Service Install"; content:"|ff|SMB"; content:"PSEXESVC"; nocase; sid:3000005; rev:1;)
# RDP brute force from internal host (lateral movement)
alert tcp $HOME_NET any -> $HOME_NET 3389 (msg:"RANSOMWARE PRECURSOR - Internal RDP Brute Force"; flow:to_server,established; threshold:type both, track by_src, count 20, seconds 60; sid:3000006; rev:1;)
# Large SMB file transfer (data staging)
alert tcp $HOME_NET any -> $HOME_NET 445 (msg:"RANSOMWARE PRECURSOR - Large SMB Transfer Possible Staging"; flow:to_server,established; dsize:>60000; threshold:type both, track by_src, count 100, seconds 300; sid:3000007; rev:1;)
```
**Zeek scripts for behavioral detection:**
```zeek
# detect_ransomware_precursors.zeek
# Detect high volume of failed SMB connections (credential testing)
@load base/protocols/smb
module RansomwarePrecursor;
export {
redef enum Notice::Type += {
SMB_Brute_Force,
Suspicious_Internal_Scan,
Excessive_DNS_Queries,
SMB_Admin_Share_Access,
};
const smb_fail_threshold = 10 &redef;
const scan_threshold = 50 &redef;
const dns_query_threshold = 200 &redef;
}
global smb_fail_count: table[addr] of count &default=0 &create_expire=5min;
global conn_count: table[addr] of set[addr] &create_expire=1min;
event smb2_message(c: connection, hdr: SMB2::Header, is_orig: bool) {
if (hdr$status != 0) {
++smb_fail_count[c$id$orig_h];
if (smb_fail_count[c$id$orig_h] >= smb_fail_threshold) {
NOTICE([$note=SMB_Brute_Force,
$msg=fmt("Host %s has %d failed SMB attempts", c$id$orig_h, smb_fail_count[c$id$orig_h]),
$src=c$id$orig_h,
$identifier=cat(c$id$orig_h)]);
}
}
}
event new_connection(c: connection) {
if (c$id$orig_h in Site::local_nets && c$id$resp_h in Site::local_nets) {
if (c$id$orig_h !in conn_count)
conn_count[c$id$orig_h] = set();
add conn_count[c$id$orig_h][c$id$resp_h];
if (|conn_count[c$id$orig_h]| >= scan_threshold) {
NOTICE([$note=Suspicious_Internal_Scan,
$msg=fmt("Host %s connected to %d internal hosts in 1 min", c$id$orig_h, |conn_count[c$id$orig_h]|),
$src=c$id$orig_h,
$identifier=cat(c$id$orig_h)]);
}
}
}
```
### Step 3: Create SIEM Correlation Rules
**Splunk correlation for ransomware precursor chain:**From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.
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Signals
- Stars
- 34,941
- Forks
- 4,256
- Open issues
- 24
- Last commit (this folder)
- Jun 20, 2026 (4 months ago)
- Last release
- Jun 22, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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detecting-ransomware-precursors-in-network skill. Agent Mart. https://agentmart.dev/skills/mukul975-detecting-ransomware-precursors-in-network (last updated 2026-10-24)