| name | threat-model-surface |
| description | Perform phase 3.3 deep analysis of an in-scope attack surface for a threat model. USE WHEN the orientation brief is ready and code must be read to derive the §1.7 per-input trust table and contract-dimension matrix, §1.5 no-surprise side-effects inventory, §1.4 reachability preconditions, and §1.8 output taint. Reads public entry points for contract rather than defects, timeboxes each component family, and marks uncovered surface inferred. Produces a surface analysis. Read-only. DO NOT USE FOR: bug hunting, code review, orientation, or drafting the prose model. |
| argument-hint | <in-scope component families to read> |
Threat Model — Surface (deep pass on the in-scope surface)
Phase 3.3. The orient pass was minutes; this is hours, and that is expected.
Three of the output's most valuable artifacts cannot be produced any other way:
- the per-input-operand trust table (§1.7), which requires reading each
in-scope entry point far enough to say which direct parameters and indirect
inputs an attacker can reach and what the caller must enforce; and
- the contract-dimension matrix (§1.7-§1.12), which prevents silence about
failure behavior, representational limits, executable collaborators, object
topology, and lifecycle edge cases from becoming downstream
MODEL-GAP
findings; and
- the no-surprise side-effects inventory (§1.5) — negative claims about what
the project does to its host that cannot be established by reading docs.
Read principles.md and the §1.5 /
§1.7 / §1.8 specs in
output-structure.md first.
Rules for keeping the cost bounded
- Scope by the recon carve. Read only the entry points of in-model families.
Do not read
contrib/, examples, or out-of-scope families beyond confirming
they are separable.
- Read for contract, not for bugs. At each entry point the question is
"which of these parameters can an attacker control, what kind of control is
it, and what contract applies at edge conditions?" — not "is this code
correct?" Record whether behavior is guaranteed, disclaimed, or unresolved;
do not test whether the implementation satisfies it. The moment the reading
turns into review, stop and move on.
- Timebox per family. If a family's surface is too large to table in budget
(e.g., a service with 100+ routes), table the highest-exposure subset, mark the
remainder (inferred, QN) with a coverage note, and raise completing the table as
an open question / follow-up — do not silently generalize.
- Record hypotheses as you go, in draft form with provenance tags. Preserve
documented provenance for explicit normative public contracts. Code,
implementation comments, and tests that merely suggest an unwritten contract
remain (inferred, QN) until a maintainer ratifies them.
- Read code as a behavioural oracle, not just as a second-class doc. Mining
comments and headers tells you what the project says; it cannot tell you
where a guarantee stops. Every
security-critical property needs its
off-switches found by reading statements: the API call that relaxes a
check, the flag that removes one, the mode that trades it for speed. Cite each
as <file>:<line> at the statement that implements it. A comment describing
the function does not qualify — the check that matters may have no comment at
all, which is exactly why comment-harvesting misses it.
These are easy to walk past because they are not input operands: no
attacker-controlled parameter appears, so an input-shaped reading of the API
sees nothing. They are property switches. Grep for names built on validate,
undermine, relax, skip, permit, trust, unsafe, strict, and
sane, then read what each one assigns.
- Search the whole shipped build, not the files you happen to have open.
Scope every switch hunt to the source set the supported build compiles —
including the build scripts, which is where platform-conditional and
default-on options live. A search restricted to the public header and one
implementation file will miss a compile-time switch that replaces an entire
function, and it will miss it silently.
Build the per-input-operand trust table (§1.7)
One row per direct parameter and each security-relevant indirect input of every
public entry point:
| Function | Input operand | Attacker-controllable? | Control kind | Caller must enforce | Provenance |
|---|
gzopen | path | no — trusted caller string | data, resource-name | path sanitization | (documented, gzopen contract) |
gzread | file contents | yes | data, size | output buffer >= len | (inferred, Q4) |
gzprintf | format | no — trusted literal | x-format-string | never source from input | (inferred, Q5) |
For a network service, the first column is the route/endpoint or protocol
message (POST /v1/configuration, Handshake frame), and rows must cover
headers and connection metadata as well as bodies — header-presence checks
(X-Forwarded-*, auth tokens) are common false friends. Group rows by component
family if the table grows large. Prose is not sufficient: tool/AI findings are
reported against specific sinks, and the triager must look up the exact parameter.
Do not collapse all control into a boolean. Use one or more control kinds:
data, size/rate, type/class, callback/code, object-graph topology,
collaborator implementation, resource-name, serialized state, or a
project-specific x- kind. Distinguish an attacker choosing data passed
through a trusted callback from an attacker choosing the callback itself.
Also capture size/shape/rate assumptions (bounded? streaming? memory-mapped?),
and flag any input whose magnitude drives resource allocation (memory, threads,
file handles) — that feeds the §1.11 resource-property threshold.
Build the contract-dimension matrix (§1.7-§1.12)
For every in-scope component family, fill every applicable row. A blank cell is
not allowed:
| Dimension | Status | Conditions / boundary | Routes to | Provenance |
|---|
| numeric domain and representational limits | claimed / disclaimed / N/A / unresolved | maximum size, overflow behavior, normalization domain | §1.11 / §1.12 / §1.18 | (inferred, QN) or cited documented/maintainer source |
| failure and exception atomicity | claimed / disclaimed / N/A / unresolved | state after validation or callback failure | §1.11 / §1.12 / §1.18 | (inferred, QN) or cited source |
| recursive or cyclic topology | claimed / disclaimed / N/A / unresolved | self-reference, graph depth, reentrancy | §1.11 / §1.12 / §1.18 | (inferred, QN) or cited source |
| callback and collaborator execution | claimed / disclaimed / N/A / unresolved | comparator, predicate, factory, virtual dispatch | §1.7 / §1.10 / §1.11 / §1.12 / §1.18 | (inferred, QN) or cited source |
| serialization and reconstruction | claimed / disclaimed / N/A / unresolved | restored types, callbacks, invariant rebuilding | §1.3 / §1.7 / §1.10 / §1.11 / §1.12 / §1.18 | (inferred, QN) or cited source |
| reference and object lifecycle | claimed / disclaimed / N/A / unresolved | weak/soft references, GC clearing, invalidation | §1.5 / §1.11 / §1.12 / §1.18 | (inferred, QN) or cited source |
| concurrency and reentrancy | claimed / disclaimed / N/A / unresolved | shared mutation, callback reentry | §1.5 / §1.11 / §1.12 / §1.18 | (inferred, QN) or cited source |
| resource complexity | claimed / disclaimed / N/A / unresolved | CPU, heap, stack, I/O as a function of input/state | §1.7 / §1.11 / §1.12 / §1.18 | (inferred, QN) or cited source |
Add project-type rows when needed, such as Unicode/canonicalization,
probabilistic-result semantics, protocol state transitions, clock behavior, or
distributed consistency. The matrix is a contract inventory, not a bug list.
A demonstrably-absent guarantee is a disclaimed row with documented
provenance; only a dimension where a guarantee might exist stays unresolved
and becomes a proposed-answer question for the interview. A guarantee "might
exist" when the project has historically fixed reports of that class, or when a
documented guarantee already implies it — in that case narrow the claimed row
rather than disclaiming. Record the disclaimer's conditions and tier (see
§1.12): a disclaimer with no boundary is the one that over-closes, and the tier
is the worst impact of a report the disclaimer would close.
For stateful APIs, explicitly record the postcondition on failure: unchanged,
partially committed, best-effort cleanup, or unspecified. Cover failures from
validation, allocation, caller callbacks, and delegated collaborator methods.
Build the no-surprise side-effects inventory (§1.5)
Scan for what the project does to its host, then state the negative claims:
does it open sockets? spawn processes? install signal handlers? read environment
variables? write to stdout/stderr? touch global locale or FPU state? mutate
process-wide state?
Tag these by how good your scan was, not by a default. A negative here says
no such behaviour was observed; the project has not promised to keep it that
way, so it is a §1.5 inventory row rather than a documented contract:
- (assumption, QN) when you scanned the shipped sources of the supported build
exhaustively and found nothing. Name what you searched.
- (inferred, QN) when the scan could not be exhaustive — hand-written
assembly, generated code,
dlopen or another dynamic dispatch, an #ifdef
branch you did not read, or a dependency that could do it on the project's
behalf. Name the specific hole in the question, so the maintainer knows what
you could not see.
Do not pre-label the whole inventory inferred before scanning. A negative
you actually verified across the supported build is worth more to a triager than
a blanket hedge, and the difference is exactly what the maintainer is being
asked to ratify.
Derive reachability preconditions (§1.4) and output taint (§1.8)
- Per in-model family, state the condition a finding must meet to matter ("a
finding in
inflate.c is in-model only if reachable from the compressed input
bytes"). This is the first test a triager applies to a tool/AI hit.
- Per output channel, state taint. The default for parsers/decoders/decompressors
is one line worth stating verbatim: "Output is exactly as untrusted as the
input it derives from; no sanitization, normalization, or encoding is
performed." Note any structural invariant the code actually upholds (bounded
writes, valid encoding, matching length fields) — each is a candidate §1.11
property.
Output — surface analysis
Hand back: the §1.7 table (with coverage note if partial), the completed
contract-dimension matrix, the §1.5 side-effects inventory, per-family §1.4
reachability preconditions, and §1.8 output-taint statements — each tagged with
its actual provenance. Mark code-derived contract hypotheses (inferred, QN) and
call out unresolved dimensions and wave-1/2 confirmation targets for
threat-model-interview.