Field Manual sections
Every section of the Swarmchasing Field Manual (SC-FM) by its id. Cite a section as SC-FM 1.1 §FM-3.2. Search matches ids, titles and the sections' text; it runs in this page.
1. Scope and definitions
2. Principles
3. Sources and collection
4. Indicators
- FM-4.1 Grading records
- FM-4.2 Rule anatomy
- FM-4.3 The SC-T tactic taxonomy
- FM-4.4 Default tactics by rule kind
- FM-4.5 Artifact families
- FM-4.6 Cross-walk to MITRE ATLAS and ATT&CK
- FM-4.7 Rule-writing standard
- FM-4.8 Rule versions and pinning
- FM-4.9 Benchmark targets and declared testing
- FM-4.10 Interaction signals
- FM-4.11 Independence groups and the context cap
5. Linking
- FM-5.1 Hard and soft links
- FM-5.2 Shared link features
- FM-5.3 Close timing on the same target
- FM-5.4 Probe chains
- FM-5.5 Runs
- FM-5.6 Cluster hygiene
- FM-5.7 Soft links
- FM-5.8 Candidate fleets, merge and split
- FM-5.9 Escalation sequences
- FM-5.10 Reruns
- FM-5.11 Provenance and planted records
- FM-5.12 Interaction edges
- FM-5.13 Cluster lifecycle and identifiers
- FM-5.14 Scaffold fingerprints
- FM-5.15 Coordinated accounts on public platforms
- FM-5.16 Co-targets
- FM-5.17 Weighing soft links
- FM-5.18 Fleets across windows
- FM-5.19 Ordered co-targets
- FM-5.20 Scaffold lineage
- FM-5.21 Prompt echo
- FM-5.22 Co-groups
- FM-5.23 Identifier generators
- FM-5.24 Playbook alignment
- FM-5.25 Campaigns
6. Timing and concurrency
7. Attribution
- FM-7.1 Four layers
- FM-7.2 Developer and operator ladder
- FM-7.3 Hosting and runtime layer
- FM-7.4 Harness and framework layer
- FM-7.5 Model family layer
- FM-7.6 Claim tags
- FM-7.7 Attribution labels
- FM-7.8 The naming gate
- FM-7.9 False-flag reasoning
- FM-7.10 Agent likelihood
- FM-7.11 Declared agent identity
- FM-7.12 Competing hypotheses
- FM-7.13 Published address ranges
8. Confidence language
9. Evaluation
- FM-9.1 Three kinds of evaluation
- FM-9.2 Regression set
- FM-9.3 Frozen held-out split
- FM-9.4 Prospective evaluation
- FM-9.5 Detection metrics
- FM-9.6 Cluster metrics
- FM-9.7 Attribution calibration
- FM-9.8 Inter-rater agreement
- FM-9.9 What to publish with a number
- FM-9.10 Benchmark publication rules
- FM-9.11 Agent-grade evaluation
- FM-9.12 Calibrated public language
- FM-9.13 Negative control and benign baseline
10. Disclosure
11. Notice standard
12. Interoperability
13. Case study template
14. Known limits and traps
- FM-14.1 Self-identification is forgeable
- FM-14.2 An ASN names a host
- FM-14.3 A scan service's ASN is the target's
- FM-14.4 Capture time is not request time
- FM-14.5 Tags get copied after publication
- FM-14.6 Common features cause giant clusters
- FM-14.7 Humans look the same
- FM-14.8 Model residue comes from people too
- FM-14.9 Stacking across a cluster
- FM-14.10 Malformed URLs make bogus targets
- FM-14.11 A record is not a success
- FM-14.12 Absence is not evidence
- FM-14.13 Display truncation looks like model truncation
- FM-14.14 Decoding is heuristic
- FM-14.15 Date and rhythm assumptions
- FM-14.16 Cron jobs share pauses
- FM-14.17 Model-family claims are fragile
- FM-14.18 Redaction hashes are not encryption
- FM-14.19 Rules change
- FM-14.20 Public records can be planted
- FM-14.21 A tier is not misalignment
- FM-14.22 Correlated rules stack
15. Misalignment and scope
16. Relation to other methods
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