Install this skill
npx skills add mukul975/Anthropic-Cybersecurity-SkillsFramework mappings
MITRE ATT&CK
T1046 on the official MITRE ATT&CK siteT1053.003 on the official MITRE ATT&CK siteT1053.005 on the official MITRE ATT&CK siteT1057 on the official MITRE ATT&CK siteT1068 on the official MITRE ATT&CK siteT1082 on the official MITRE ATT&CK siteT1083 on the official MITRE ATT&CK siteT1134 on the official MITRE ATT&CK siteT1134.001 on the official MITRE ATT&CK siteT1543.003 on the official MITRE ATT&CK siteT1548 on the official MITRE ATT&CK siteT1548.001 on the official MITRE ATT&CK siteT1548.002 on the official MITRE ATT&CK siteT1548.003 on the official MITRE ATT&CK siteT1574 on the official MITRE ATT&CK siteT1574.009 on the official MITRE ATT&CK site
NIST CSF 2.0
When to Use
- When proactively hunting for indicators of detecting privilege escalation attempts in the environment
- After threat intelligence indicates active campaigns using these techniques
- During incident response to scope compromise related to these techniques
- When EDR or SIEM alerts trigger on related indicators
- During periodic security assessments and purple team exercises
Prerequisites
- EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)
- SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)
- Sysmon deployed with comprehensive configuration
- Windows Security Event Log forwarding enabled
- Threat intelligence feeds for IOC correlation
Workflow
- Formulate Hypothesis: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
- Identify Data Sources: Determine which logs and telemetry are needed to validate or refute the hypothesis.
- Execute Queries: Run detection queries against SIEM and EDR platforms to collect relevant events.
- Analyze Results: Examine query results for anomalies, correlating across multiple data sources.
- Validate Findings: Distinguish true positives from false positives through contextual analysis.
- Correlate Activity: Link findings to broader attack chains and threat actor TTPs.
- Document and Report: Record findings, update detection rules, and recommend response actions.
Key Concepts
| Concept | Description |
|---|---|
| T1134 | Access Token Manipulation |
| T1548.002 | UAC Bypass |
| T1068 | Exploitation for Privilege Escalation |
| T1574.009 | Unquoted Service Path |
Tools & Systems
| Tool | Purpose |
|---|---|
| CrowdStrike Falcon | EDR telemetry and threat detection |
| Microsoft Defender for Endpoint | Advanced hunting with KQL |
| Splunk Enterprise | SIEM log analysis with SPL queries |
| Elastic Security | Detection rules and investigation timeline |
| Sysmon | Detailed Windows event monitoring |
| Velociraptor | Endpoint artifact collection and hunting |
| Sigma Rules | Cross-platform detection rule format |
Common Scenarios
- Scenario 1: Potato exploit for SYSTEM token impersonation
- Scenario 2: Fodhelper.exe UAC bypass technique
- Scenario 3: PrintSpoofer privilege escalation from service to SYSTEM
- Scenario 4: CVE kernel exploit for local privilege escalation
Output Format
Hunt ID: TH-DETECT-[DATE]-[SEQ]
Technique: T1134
Host: [Hostname]
User: [Account context]
Evidence: [Log entries, process trees, network data]
Risk Level: [Critical/High/Medium/Low]
Confidence: [High/Medium/Low]
Recommended Action: [Containment, investigation, monitoring]Source materials
References and resources
Everything below is rendered for inspection. Script files are read-only and never run.
References 3
api-reference.md1.3 KB
API Reference: Detecting Privilege Escalation Attempts
Windows Privilege Escalation Techniques
| Technique | MITRE ID | Detection |
|---|---|---|
| UAC Bypass | T1548.002 | eventvwr.exe, fodhelper.exe |
| Token Manipulation | T1134 | SeDebugPrivilege (Event 4672) |
| Service Modification | T1543.003 | sc config binpath= |
| Potato Exploits | T1134.001 | JuicyPotato, PrintSpoofer |
| Scheduled Task | T1053.005 | schtasks /ru SYSTEM |
Linux Privilege Escalation Techniques
| Technique | MITRE ID | Detection |
|---|---|---|
| SUID Abuse | T1548.001 | find -perm 4000 |
| Sudo Exploitation | T1548.003 | sudo -l enumeration |
| Kernel Exploit | T1068 | DirtyPipe, PwnKit |
| Cron Abuse | T1053.003 | crontab modification |
Key Windows Event IDs
| Event ID | Detection |
|---|---|
| 4672 | Special Privileges Assigned |
| 4688 | Process Creation |
| Sysmon 1 | Process Create with cmdline |
Splunk SPL
index=wineventlog (EventCode=4672 OR EventCode=4688)
| where match(PrivilegeList, "SeDebugPrivilege")
OR match(CommandLine, "(?i)(fodhelper|juicypotato)")
| table _time User CommandLine ComputerCLI Usage
python agent.py --evtx-file Sysmon.evtx
python agent.py --text-log auth.logstandards.md1.6 KB
Standards and References - Detecting Privilege Escalation Attempts
MITRE ATT&CK Mappings
| Technique | Name | Description |
|---|---|---|
| T1134 | Access Token Manipulation | See attack.mitre.org/techniques/T1134 |
| T1548.002 | UAC Bypass | See attack.mitre.org/techniques/T1548/002 |
| T1068 | Exploitation for Privilege Escalation | See attack.mitre.org/techniques/T1068 |
| T1574.009 | Unquoted Service Path | See attack.mitre.org/techniques/T1574/009 |
Detection Data Sources
| Source | Event ID | Purpose |
|---|---|---|
| Sysmon | 1 | Process creation with command line |
| Sysmon | 3 | Network connection initiated |
| Sysmon | 7 | Image loaded (DLL) |
| Sysmon | 10 | Process access (LSASS) |
| Sysmon | 11 | File creation |
| Sysmon | 12/13 | Registry create/set |
| Sysmon | 22 | DNS query |
| Sysmon | 25 | Process tampering |
| Windows Security | 4624 | Successful logon |
| Windows Security | 4625 | Failed logon |
| Windows Security | 4648 | Explicit credential logon |
| Windows Security | 4672 | Special privileges assigned |
| Windows Security | 4688 | Process creation |
| Windows Security | 4697 | Service installed |
| Windows Security | 4698 | Scheduled task created |
| Windows Security | 4769 | Kerberos TGS requested |
| Windows Security | 5140 | Network share accessed |
References
- MITRE ATT&CK Framework: https://attack.mitre.org/
- Sigma Detection Rules: https://github.com/SigmaHQ/sigma
- LOLBAS Project: https://lolbas-project.github.io/
- Atomic Red Team Tests: https://github.com/redcanaryco/atomic-red-team
- Red Canary Threat Detection Report
- SANS Threat Hunting Summit Resources
workflows.md2.8 KB
Detailed Hunting Workflow - Detecting Privilege Escalation Attempts
Phase 1: Data Collection and Querying
Splunk SPL Query
index=wineventlog EventCode=4672
| where NOT match(Account_Name, "(?i)(SYSTEM|LOCAL SERVICE|NETWORK SERVICE|\\$)")
| stats count values(Computer) as hosts by Account_Name
| where count > 5
| sort -countKQL Query (Microsoft Defender for Endpoint)
SecurityEvent
| where EventID == 4672
| where SubjectUserName !in~ ("SYSTEM","LOCAL SERVICE","NETWORK SERVICE")
| where SubjectUserName !endswith "$"
| summarize count(), Hosts=make_set(Computer) by SubjectUserNamePhase 2: Baseline and Anomaly Detection
Step 2.1 - Establish Normal Behavior Baseline
- Collect 30 days of historical data for the targeted technique
- Document expected patterns, frequencies, and legitimate use cases
- Identify known false positive sources and document exceptions
- Build statistical baseline (mean, standard deviation) for key metrics
Step 2.2 - Identify Anomalies
- Compare current activity against the 30-day baseline
- Flag events exceeding 3 standard deviations from normal
- Prioritize anomalies by risk score and potential business impact
- Cross-reference with threat intelligence for known IOCs
Phase 3: Investigation and Correlation
Step 3.1 - Deep Dive Analysis
- For each anomaly, collect full process tree context
- Correlate with network activity, file operations, and authentication events
- Check binary signatures, file hashes, and certificate validity
- Review user account context and access patterns
Step 3.2 - Attack Chain Reconstruction
- Map findings to MITRE ATT&CK kill chain stages
- Identify initial access vector if applicable
- Trace lateral movement and privilege escalation paths
- Determine data access and potential exfiltration
Phase 4: Validation and Response
Step 4.1 - True/False Positive Determination
- Verify findings with system owners and IT operations
- Check change management records for authorized activities
- Validate user context (authorized actions vs. compromised account)
- Document determination rationale for each finding
Step 4.2 - Response Actions
- For confirmed threats: initiate incident response procedures
- For detection gaps: create or update detection rules
- For false positives: tune existing rules and update exclusions
- Update threat hunting playbook with lessons learned
Phase 5: Documentation and Reporting
Step 5.1 - Hunt Report
- Summarize hypothesis, methodology, and findings
- Include all queries executed and their results
- Document IOCs discovered and detection rules created
- Provide recommendations for security improvements
Step 5.2 - Knowledge Base Update
- Add findings to threat intelligence platform
- Update MITRE ATT&CK coverage heatmap
- Share detection rules via Sigma format
- Schedule follow-up hunts for related techniques
Scripts 2
agent.py4.6 KB
Display-only source. This catalog never executes bundled scripts.
#!/usr/bin/env python3
"""Privilege escalation detection agent for Windows and Linux endpoints.
Detects token manipulation, UAC bypass, sudo abuse, kernel exploits, and
unquoted service paths by analyzing process creation and security logs.
"""
import argparse
import json
import re
from datetime import datetime
try:
import Evtx.Evtx as evtx
except ImportError:
evtx = None
WINDOWS_PRIVESC_PATTERNS = [
(r"eventvwr\.exe|fodhelper\.exe|computerdefaults\.exe", "T1548.002", "CRITICAL", "UAC Bypass"),
(r"whoami\s+/priv", "T1033", "MEDIUM", "Privilege enumeration"),
(r"sc\s+(config|create).*binpath", "T1543.003", "HIGH", "Service binary modification"),
(r"potato.*exploit|juicypotato|sweetpotato|godpotato", "T1134.001", "CRITICAL", "Token impersonation exploit"),
(r"printspoofer|efspotato", "T1134.001", "CRITICAL", "Named pipe impersonation"),
(r"schtasks.*\/ru.*system", "T1053.005", "HIGH", "Scheduled task as SYSTEM"),
(r"reg\s+add.*ImagePath", "T1574.011", "HIGH", "Service registry modification"),
]
LINUX_PRIVESC_PATTERNS = [
(r"sudo\s+-l|sudo\s+--list", "T1548.003", "MEDIUM", "Sudo enumeration"),
(r"find.*-perm.*4000|find.*-perm.*/u=s", "T1548.001", "MEDIUM", "SUID binary search"),
(r"chmod\s+[u+]?s|chmod\s+4\d{3}", "T1548.001", "HIGH", "SUID bit set"),
(r"linpeas|linenum|linux-exploit-suggester", "T1046", "HIGH", "Privesc enumeration tool"),
(r"pkexec|CVE-2021-4034|pwnkit", "T1068", "CRITICAL", "Kernel exploit"),
(r"dirty.*pipe|CVE-2022-0847", "T1068", "CRITICAL", "Kernel exploit"),
]
def analyze_evtx(filepath):
if evtx is None:
return {"error": "python-evtx not installed: pip install python-evtx"}
findings = []
with evtx.Evtx(filepath) as log:
for record in log.records():
xml = record.xml()
event_id_match = re.search(r'<EventID[^>]*>(\d+)</EventID>', xml)
if not event_id_match:
continue
event_id = int(event_id_match.group(1))
if event_id not in (1, 4688, 4672):
continue
cmdline = re.search(r'<Data Name="CommandLine">([^<]+)', xml)
image = re.search(r'<Data Name="Image">([^<]+)', xml)
time_match = re.search(r'SystemTime="([^"]+)"', xml)
cmd = cmdline.group(1) if cmdline else ""
proc = image.group(1) if image else ""
text = f"{cmd} {proc}"
for pattern, mitre, severity, desc in WINDOWS_PRIVESC_PATTERNS:
if re.search(pattern, text, re.IGNORECASE):
findings.append({
"event_id": event_id,
"timestamp": time_match.group(1) if time_match else "",
"command": cmd[:200], "technique": desc,
"mitre": mitre, "severity": severity,
})
if event_id == 4672:
privs = re.search(r'<Data Name="PrivilegeList">([^<]+)', xml)
if privs and "SeDebugPrivilege" in privs.group(1):
findings.append({
"event_id": 4672,
"timestamp": time_match.group(1) if time_match else "",
"technique": "SeDebugPrivilege assigned",
"mitre": "T1134", "severity": "HIGH",
})
return findings
def analyze_text_log(filepath):
findings = []
all_patterns = WINDOWS_PRIVESC_PATTERNS + LINUX_PRIVESC_PATTERNS
with open(filepath, "r", encoding="utf-8", errors="replace") as f:
for num, line in enumerate(f, 1):
for pattern, mitre, severity, desc in all_patterns:
if re.search(pattern, line, re.IGNORECASE):
findings.append({
"line": num, "technique": desc,
"mitre": mitre, "severity": severity,
"excerpt": line.strip()[:200],
})
return findings
def main():
parser = argparse.ArgumentParser(description="Privilege Escalation Detector")
parser.add_argument("--evtx-file", help="Sysmon or Security EVTX file")
parser.add_argument("--text-log", help="Text log to scan")
args = parser.parse_args()
results = {"timestamp": datetime.utcnow().isoformat() + "Z", "findings": []}
if args.evtx_file:
r = analyze_evtx(args.evtx_file)
if isinstance(r, dict):
results.update(r)
else:
results["findings"].extend(r)
if args.text_log:
results["findings"].extend(analyze_text_log(args.text_log))
results["total_findings"] = len(results["findings"])
print(json.dumps(results, indent=2))
if __name__ == "__main__":
main()
process.py3.6 KB
Display-only source. This catalog never executes bundled scripts.
#!/usr/bin/env python3
"""Privilege Escalation Detection - Analyzes logs for T1134 indicators."""
import json, csv, argparse, datetime, re
from collections import defaultdict
from pathlib import Path
DETECTION_PATTERNS = [
r'potato',
r'PrintSpoofer',
r'JuicyPotato',
r'fodhelper',
r'eventvwr',
r'sdclt',
r'ComputerDefaults',
]
def parse_logs(path):
p = Path(path)
if p.suffix == ".json":
with open(p, encoding="utf-8") as f:
data = json.load(f)
return data if isinstance(data, list) else data.get("events", [])
elif p.suffix == ".csv":
with open(p, encoding="utf-8-sig") as f:
return [dict(r) for r in csv.DictReader(f)]
return []
def analyze_event(event):
cmd = event.get("CommandLine", event.get("command_line", event.get("ProcessCommandLine", "")))
content = event.get("Task_Content", event.get("Parameters", event.get("RawEventData", "")))
search_text = f"{cmd} {content}"
risk = 0
indicators = []
for pattern in DETECTION_PATTERNS:
if re.search(pattern, search_text, re.IGNORECASE):
risk += 25
indicators.append(f"Pattern match: {pattern}")
if not indicators:
return None
risk = min(risk, 100)
return {
"technique": "T1134",
"command_line": cmd[:500] if cmd else content[:500],
"hostname": event.get("Computer", event.get("DeviceName", event.get("hostname", "unknown"))),
"user": event.get("User", event.get("AccountName", event.get("UserId", "unknown"))),
"timestamp": event.get("_time", event.get("timestamp", event.get("UtcTime", event.get("Timestamp", "")))),
"risk_score": risk,
"risk_level": "CRITICAL" if risk >= 75 else "HIGH" if risk >= 50 else "MEDIUM" if risk >= 25 else "LOW",
"indicators": indicators,
}
def run_hunt(input_path, output_dir):
print(f"[*] Privilege Escalation Hunt - {datetime.datetime.now().isoformat()}")
events = parse_logs(input_path)
findings = [f for f in (analyze_event(e) for e in events) if f]
Path(output_dir).mkdir(parents=True, exist_ok=True)
slug = "detecting_privilege_"
with open(Path(output_dir) / f"{slug}_findings.json", "w", encoding="utf-8") as f:
json.dump({"hunt_id": f"TH-{datetime.date.today()}", "total_events": len(events), "findings": findings}, f, indent=2)
with open(Path(output_dir) / "hunt_report.md", "w", encoding="utf-8") as f:
f.write(f"# Privilege Escalation Hunt Report\n\n")
f.write(f"**Date**: {datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
f.write(f"**Findings**: {len(findings)}\n\n")
for finding in sorted(findings, key=lambda x: x["risk_score"], reverse=True)[:20]:
f.write(f"### [{finding['risk_level']}] {finding['technique']}\n")
f.write(f"- **Host**: {finding['hostname']}\n")
f.write(f"- **Indicators**: {', '.join(finding['indicators'])}\n\n")
print(f"[+] {len(findings)} findings written to {output_dir}")
def main():
p = argparse.ArgumentParser(description="Privilege Escalation Detection")
sp = p.add_subparsers(dest="cmd")
h = sp.add_parser("hunt"); h.add_argument("--input", "-i", required=True); h.add_argument("--output", "-o", default="./detecting_privi_output")
sp.add_parser("queries")
args = p.parse_args()
if args.cmd == "hunt": run_hunt(args.input, args.output)
elif args.cmd == "queries":
print("=== Detection Queries ===")
print("See references/workflows.md for platform-specific queries")
else: p.print_help()
if __name__ == "__main__": main()
Assets 1
template.mdtext/markdown · 2.6 KBKeep exploring