mirror of
https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
synced 2026-06-13 22:54:53 +03:00
mukul975
27c6414ca5
Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
3.1 KiB
3.1 KiB
API Reference: Campaign Attribution Evidence Analysis
Diamond Model of Intrusion Analysis
Four Core Features
| Feature | Description | Attribution Value |
|---|---|---|
| Adversary | Threat actor identity | Direct attribution |
| Capability | Malware, exploits, tools | Indirect - shared tooling |
| Infrastructure | C2, domains, IPs | Strong - operational overlap |
| Victim | Targets, sectors, regions | Contextual - targeting pattern |
Pivot Analysis
Adversary ←→ Capability ←→ Infrastructure ←→ Victim
↕ ↕ ↕ ↕
(HUMINT) (Malware DB) (WHOIS/DNS) (Victimology)
Analysis of Competing Hypotheses (ACH)
Matrix Format
Evidence \ Hypothesis | APT28 | APT29 | Lazarus | Unknown
-----------------------------------------------------------------
Infrastructure overlap | ++ | - | - | N
TTP consistency | ++ | ++ | - | N
Malware similarity | + | - | - | N
Timing (UTC+3) | ++ | ++ | - | N
Language (Russian) | ++ | ++ | - | N
Scoring
| Symbol | Meaning | Weight |
|---|---|---|
++ |
Strongly consistent | +2 |
+ |
Consistent | +1 |
N |
Neutral | 0 |
- |
Inconsistent | -1 |
-- |
Strongly inconsistent | -2 |
MITRE ATT&CK Group Queries
Python (mitreattack-python)
from mitreattack.stix20 import MitreAttackData
attack = MitreAttackData("enterprise-attack.json")
group = attack.get_group_by_alias("APT29")
techniques = attack.get_techniques_used_by_group(group.id)
STIX2 Relationship Query
from stix2 import Filter
relationships = src.query([
Filter("type", "=", "relationship"),
Filter("source_ref", "=", group_id),
Filter("relationship_type", "=", "uses"),
])
Infrastructure Overlap Tools
PassiveTotal / RiskIQ
# WHOIS history
curl -u user:key "https://api.passivetotal.org/v2/whois?query=domain.com"
# Passive DNS
curl -u user:key "https://api.passivetotal.org/v2/dns/passive?query=1.2.3.4"
VirusTotal Relations
curl -H "x-apikey: KEY" \
"https://www.virustotal.com/api/v3/domains/example.com/communicating_files"
Confidence Assessment Framework
| Level | Score Range | Criteria |
|---|---|---|
| HIGH | 0.8-1.0 | Multiple independent evidence types converge |
| MEDIUM | 0.5-0.8 | Significant evidence with some gaps |
| LOW | 0.2-0.5 | Limited evidence, alternative hypotheses remain |
| NEGLIGIBLE | 0.0-0.2 | Insufficient evidence for attribution |
STIX Attribution Objects
Campaign Object
{
"type": "campaign",
"name": "Operation DarkShadow",
"first_seen": "2024-01-15T00:00:00Z",
"last_seen": "2024-03-20T00:00:00Z",
"objective": "Espionage targeting defense sector"
}
Attribution Relationship
{
"type": "relationship",
"relationship_type": "attributed-to",
"source_ref": "campaign--abc123",
"target_ref": "intrusion-set--def456",
"confidence": 75
}