Files
Open_Ultra_SAST/src/openultrasast/hunter_tools.py
T
Marius CiepluchandClaude Opus 5.5 8794884a64 fix(hunter): bound every tool result; show the provider's reason for an HTTP error
FUXA failed every hunt with HTTP 400, and neither run could say why. The client
discarded the response body. With the body shown, the reason was "This model's
maximum context length...": FUXA ships minified bundles whose single lines run to
megabytes, and grep_repo returned a matched line whole.

- grep_repo and find_refs quote a matched line (240 characters), never the whole
  line.
- Every tool result is capped at 16 x max_chars, with a truncation marker.
- OpenRouterChatClient errors carry the provider's response body (first 500
  characters). That would also have exposed the rejected model id in one call
  instead of eighteen days.

After the fix, FUXA candidates verify normally at $0.004-0.013 each. A test covers
the megabyte-line case.

verify_sinks.py: skip futures cancelled at the spend ceiling instead of reading
them (the run crashed with CancelledError).

Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
2026-09-28 20:15:14 +02:00

334 lines
13 KiB
Python

from __future__ import annotations
import os
import re
from collections.abc import Iterable, Iterator, Mapping
from pathlib import Path
from .preprocess import FileTarget, enumerate_source_files
class PathEscapesRepo(ValueError):
"""Raised when a resolved tool path is not under the scan root."""
def clamp_repo_path(root: Path, user_path: str) -> Path:
resolved_root = root.resolve()
candidate = Path(user_path)
resolved = candidate.resolve() if candidate.is_absolute() else (resolved_root / candidate).resolve()
try:
common = os.path.commonpath([str(resolved_root), str(resolved)])
except ValueError as exc:
raise PathEscapesRepo(f"path {user_path!r} escapes scan root {resolved_root}") from exc
if common != str(resolved_root):
raise PathEscapesRepo(f"path {user_path!r} escapes scan root {resolved_root}")
return resolved
def read_file(root: Path, path: str, *, max_chars: int) -> str:
clamped = clamp_repo_path(root, path)
if max_chars <= 0:
return ""
return clamped.read_text(errors="ignore")[:max_chars]
# A matched line is quoted, not returned whole: a minified bundle's single line can be megabytes.
_LINE_CHARS = 240
_Lines = tuple[tuple[str, tuple[str, ...]], ...]
_SOURCE_MEMO: dict[tuple[str, int], tuple[_Lines, tuple[tuple[Path, int], ...]]] = {}
def _source_lines(root: Path) -> _Lines:
"""Every product source file under `root` with its lines, read ONCE per root state.
Each `grep_repo` and `find_refs` call re-enumerated the tree -- walk, ignore rules, vendored checks -- and
re-read every file. On a 1,800-file repository a model verifying candidates spent its hours there, CPU-bound,
not waiting on the model. Keyed by the root's path and modification time, and a hit is re-validated file by
file -- an edit inside a subdirectory does not touch the root's mtime. The value is immutable.
"""
resolved_root = root.resolve()
key = (str(resolved_root), resolved_root.stat().st_mtime_ns)
entry = _SOURCE_MEMO.get(key)
if entry is not None and all(_mtime(path) == stamp for path, stamp in entry[1]):
return entry[0]
files = list(_iter_clamped_source_files(resolved_root))
lines = tuple((relative, tuple(path.read_text(errors="ignore").splitlines())) for relative, path in files)
if len(_SOURCE_MEMO) >= 4:
_SOURCE_MEMO.pop(next(iter(_SOURCE_MEMO)))
_SOURCE_MEMO[key] = (lines, tuple((path, _mtime(path)) for _, path in files))
return lines
def _mtime(path: Path) -> int:
try:
return path.stat().st_mtime_ns
except OSError:
return -1
def grep_repo(root: Path, pattern: str, *, max_matches: int) -> list[dict[str, object]]:
if max_matches <= 0:
return []
compiled = re.compile(pattern)
matches: list[dict[str, object]] = []
for relative, lines in _source_lines(root):
for line_no, line in enumerate(lines, start=1):
if compiled.search(line):
matches.append({"path": relative, "line": line_no, "text": line[:_LINE_CHARS]})
if len(matches) >= max_matches:
return matches
return matches
def find_refs(root: Path, symbol: str, mapping_index: object) -> list[dict[str, object]]:
resolved_root = root.resolve()
refs: list[dict[str, object]] = []
for record in _iter_mapping_records(mapping_index):
if not _record_matches_symbol(record, symbol):
continue
raw_path = _record_path(record)
if raw_path is None:
continue
clamped = clamp_repo_path(resolved_root, raw_path)
name = _record_value(record, "name", "function_name", "symbol")
refs.append(
{
"path": clamped.relative_to(resolved_root).as_posix(),
"name": str(name) if name is not None else symbol,
"line": _as_line(_record_value(record, "line")),
"source": "mapping",
}
)
if symbol:
compiled = re.compile(rf"\b{re.escape(symbol)}\b")
for relative, lines in _source_lines(resolved_root):
for line_no, line in enumerate(lines, start=1):
if compiled.search(line):
refs.append({"path": relative, "name": symbol, "line": line_no, "text": line[:_LINE_CHARS], "source": "text"})
return refs
def _iter_clamped_source_files(root: Path) -> Iterator[tuple[str, Path]]:
resolved_root = root.resolve()
for path in enumerate_source_files(resolved_root):
relative = path.relative_to(resolved_root).as_posix()
yield relative, clamp_repo_path(resolved_root, relative)
def _iter_mapping_records(mapping_index: object) -> Iterable[object]:
if mapping_index is None:
return ()
if isinstance(mapping_index, Mapping):
return (mapping_index,)
if isinstance(mapping_index, (str, bytes, bytearray)):
return ()
if isinstance(mapping_index, Iterable):
return mapping_index
return (mapping_index,)
def _record_matches_symbol(record: object, symbol: str) -> bool:
for field in ("name", "function_name", "symbol"):
value = _record_value(record, field)
if value is not None and str(value) == symbol:
return True
return False
def _record_path(record: object) -> str | None:
value = record.get("path") if isinstance(record, Mapping) else getattr(record, "path", None)
if value is None:
return None
return str(value)
def _record_value(record: object, *names: str) -> object | None:
for name in names:
raw: object | None
if isinstance(record, Mapping):
if name not in record:
continue
raw = record[name]
else:
raw = getattr(record, name, None)
if raw is not None:
return raw
return None
def _as_line(value: object) -> int | None:
if isinstance(value, bool) or value is None:
return None
if isinstance(value, int):
return value
return None
# --- curated structural tools (learning-harness, Req 6.4, 6.5) --------------------------------------
# A detector reads code with `read_file` and `read_definition`; the three list tools below answer with
# identifiers and line spans only, so they can never become a second way to dump the repository. Every
# path a caller supplies is clamped to the scan root first. No caching: a detector calls these a handful
# of times per region, and a stale view of a tree that a round may have rewritten is worse than a reparse.
def read_definition(root: Path, symbol: str, *, max_chars: int, path: str | None = None) -> dict[str, object] | None:
"""The definition of one named function: where it is, how far it runs, and its text. None when absent."""
resolved_root = root.resolve()
scope = clamp_repo_path(resolved_root, path) if path is not None else None
for relative, target in _iter_clamped_source_files(resolved_root):
if scope is not None and target != scope:
continue
text = target.read_text(errors="ignore")
span = _named_span(relative, text, symbol)
if span is None:
continue
lines = text.splitlines()
start, end = span
while start > 1 and lines[start - 2].lstrip().startswith("@"):
start -= 1 # a handler's decorators are part of what the detector must see
body = "\n".join(lines[start - 1 : end])
return {"path": relative, "name": symbol, "start_line": start, "end_line": end, "text": body[: max(max_chars, 0)]}
return None
def entry_points(root: Path, *, path: str | None = None) -> list[dict[str, object]]:
"""Handlers the mapper names, with their access classification and evidence. No source text."""
from .mapping import analyze_entry_points
resolved_root = root.resolve()
relative = _relative_or_none(resolved_root, path)
targets = _repo_targets(resolved_root)
rows: list[dict[str, object]] = []
for record in analyze_entry_points(resolved_root, targets):
if relative is not None and record.path != relative:
continue
rows.append(
{
"path": record.path,
"function": record.function_name,
"name": record.name,
"kind": record.kind,
"line": record.line,
"end_line": record.end_line,
"access_level": record.access_level,
"evidence": list(record.access_evidence),
}
)
return rows
def flows(root: Path, *, path: str, function: str) -> list[dict[str, object]]:
"""Adjudicated source-to-sink records inside one function: which source, which sink, what the overlay said."""
from .findings import quick_scan_findings
from .rank import rank_targets
from .semantic import adjudicate
resolved_root = root.resolve()
relative = _relative_or_none(resolved_root, path)
targets = _repo_targets(resolved_root)
span = _span_in(resolved_root, relative, function)
if span is None:
return []
findings = [item for item in quick_scan_findings(resolved_root, targets, rank_targets(targets), None) if item.status != "shadow"]
rows: list[dict[str, object]] = []
for record in adjudicate(root=resolved_root, targets=targets, findings=findings):
if record.path != relative or record.line is None or not span[0] <= record.line <= span[1]:
continue
rows.append(
{
"path": record.path,
"function": function,
"line": record.line,
"sources": list(record.sources),
"sinks": list(record.sinks),
"disposition": record.disposition,
"cwe": record.cwe,
}
)
return rows
def obligations(root: Path, *, path: str, function: str) -> list[dict[str, object]]:
"""What one function owes and has not discharged: the operation, the missing discharger, why it is owed."""
from .config import ObligationsConfig
from .semantic.facts import FactLoadError, load_facts
from .semantic.ir import parse_file
from .semantic.obligations import check_obligations, load_obligation_facts
from .semantic.obligations.dominance import OrderDominance
resolved_root = root.resolve()
relative = _relative_or_none(resolved_root, path)
targets = _repo_targets(resolved_root)
try:
flow_facts = load_facts()
except FactLoadError:
return []
irs: dict[str, tuple[object, str]] = {}
texts: dict[str, str] = {}
for target in targets:
try:
text = (resolved_root / target.path).read_text(errors="ignore")
except OSError:
continue
texts[target.path] = text
irs[target.path] = (parse_file(target.path, text, target.language), text)
from .mapping import analyze_entry_points
result = check_obligations(
irs=irs, # type: ignore[arg-type]
entries=analyze_entry_points(resolved_root, targets),
facts=load_obligation_facts(),
flow_facts=flow_facts,
policy=None,
paths=(),
dominance=OrderDominance(texts=texts),
store_shapes=(),
min_siblings=ObligationsConfig().min_siblings,
)
return [
{
"path": finding.operation.path,
"function": finding.operation.function,
"line": finding.operation.line,
"operation": finding.operation.kind,
"resource": finding.operation.resource,
"missing": finding.missing,
"label": finding.label,
"evidence": list(finding.evidence),
}
for finding in result.findings
if (relative is None or finding.operation.path == relative) and finding.operation.function == function
]
def _repo_targets(root: Path) -> list[FileTarget]:
from .preprocess import preprocess_repository
_, targets = preprocess_repository(root)
return list(targets)
def _relative_or_none(root: Path, path: str | None) -> str | None:
if path is None:
return None
return clamp_repo_path(root, path).relative_to(root).as_posix()
def _named_span(relative: str, text: str, symbol: str) -> tuple[int, int] | None:
from .preprocess import detect_language
from .semantic.functions import named_function_ranges, spans_named
ranges = named_function_ranges(relative, text, detect_language(Path(relative)))
spans = spans_named(ranges or (), symbol)
return spans[0] if spans else None
def _span_in(root: Path, relative: str | None, function: str) -> tuple[int, int] | None:
if relative is None:
return None
try:
text = (root / relative).read_text(errors="ignore")
except OSError:
return None
return _named_span(relative, text, function)