Session 5 of the 2026 threat plan (attack row 3): A04 and A15 were red. - html-obfuscation:tiny-font (HIGH): font below 4px. ShadowLeak's 1px passed because the commons zero-font row only matches a leading 0. - html-obfuscation:invisible-colour (HIGH): text within 8 per channel of the background in the same style attribute, or transparent. White alone is not a signal (email buttons); measured residual in LIMITATIONS. - output:html-comment-present (MEDIUM): a comment in the artifact outside fenced code and inline code. 253/254 comments in the reference corpus sit in code. Local to output.py; the vendored lexicon stays byte-equal with commons. Guard rule before/after: FP 106/198, 196/2918, 108/389 identical; OKF 6/53 and 47/31 identical. Matrix 139/139, ReDoS 161 patterns 0 flagged, suite 1142 passed + 6 xfailed. Row 3: 12 caught, 1 gap, 6 open.
152 lines
5.9 KiB
Python
152 lines
5.9 KiB
Python
"""test_calibration — freeze the shared calibration surface (Session D).
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Session D consolidated every tunable threshold into
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``llm_ingestion_guard.calibration`` so the Node port can mirror *exactly* the
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same numbers. These tests are the frozen contract in two halves:
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1. the raw values themselves (the tuple the port shares), and
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2. the proof that each detector actually *sources* its threshold from here —
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so the freeze is a live single-source-of-truth, not a dead copy that can
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silently drift from the value the code uses.
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Changing a calibration number is a deliberate recalibration: it must break a
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test here first.
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"""
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from __future__ import annotations
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from llm_ingestion_guard import calibration as cal
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from llm_ingestion_guard.report import Severity
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# --- frozen raw values ------------------------------------------------------
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def test_entropy_thresholds_frozen():
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assert (cal.ENTROPY_CRITICAL_H, cal.ENTROPY_CRITICAL_LEN) == (5.4, 128)
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assert (cal.ENTROPY_HIGH_H, cal.ENTROPY_HIGH_LEN) == (5.1, 64)
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assert (cal.ENTROPY_MEDIUM_H, cal.ENTROPY_MEDIUM_LEN) == (4.7, 40)
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def test_entropy_shape_floors_frozen():
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assert cal.ENTROPY_BASE64_FLOOR_LEN == 100
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assert cal.ENTROPY_HEX_FLOOR_LEN == 64
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def test_lexicon_selfsafety_frozen():
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assert cal.MAX_SCAN_CHARS == 1_000_000
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assert cal.ROT13_MIN_LEN == 40
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def test_output_selfsafety_frozen():
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assert cal.MAX_CONNSTR_VALUE == 256
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assert cal.MAX_STYLE_ATTR_CHARS == 2048
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def test_hidden_markup_thresholds_frozen():
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assert cal.HIDDEN_FONT_MAX_PX == 4.0
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assert cal.HIDDEN_COLOUR_TOLERANCE == 8
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def test_output_module_sources_hidden_markup_from_calibration():
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from llm_ingestion_guard import output
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assert output.HIDDEN_FONT_MAX_PX is cal.HIDDEN_FONT_MAX_PX
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assert output.HIDDEN_COLOUR_TOLERANCE is cal.HIDDEN_COLOUR_TOLERANCE
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assert output.MAX_STYLE_ATTR_CHARS is cal.MAX_STYLE_ATTR_CHARS
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def test_cognitive_load_lengths_frozen():
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assert cal.COGNITIVE_LOAD_MIN_LEN == 2500
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assert cal.COGNITIVE_LOAD_TAIL_START == 2000
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def test_disposition_rank_frozen():
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assert cal.DISPOSITION_RANK == {
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"warn": 0,
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"quarantine_review": 1,
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"fail_secure": 2,
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}
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def test_active_content_severity_frozen():
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assert cal.ACTIVE_CONTENT_SEVERITY == {
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"markdown-image": Severity.HIGH,
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"markdown-link": Severity.MEDIUM,
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"reference-link": Severity.MEDIUM,
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"autolink": Severity.MEDIUM,
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"raw-html": Severity.HIGH,
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"raw-html-link": Severity.MEDIUM,
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"data-uri": Severity.HIGH,
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}
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def test_url_shape_thresholds_frozen():
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# 0.3.1: severity grades on URL shape. These floors sit above every
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# legitimate documentation URL token measured on 2026-07-25 (worst: H=4.08)
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# and below the base64/hex payload segments an exfil path uses (4.36-4.54).
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assert cal.ACTIVE_CONTENT_ORDINARY_SEVERITY is Severity.LOW
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assert (cal.URL_OPAQUE_ENTROPY_H, cal.URL_OPAQUE_MIN_LEN) == (4.4, 24)
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assert cal.URL_OPAQUE_HEX_MIN_LEN == 32
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def test_no_detector_emitted_low_before_the_url_shape_change():
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"""The floor change (any finding -> MEDIUM+) is only honest as a *patch* if
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nothing that shipped before it emitted LOW — otherwise it would silently
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loosen an existing consumer's gate. The lexicon is the only table-driven
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severity source; assert it still holds no LOW/INFO pattern."""
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from llm_ingestion_guard.lexicon import load_lexicon
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assert not [p for p in load_lexicon()
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if p.severity in (Severity.LOW, Severity.INFO)]
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# --- binding: each detector reads its threshold from calibration ------------
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# The freeze is meaningful only if the modules actually READ these values. An
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# import alias binds the SAME object, so identity (`is`) proves the single
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# source of truth rather than a coincidental equal copy.
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def test_entropy_module_sources_from_calibration():
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from llm_ingestion_guard import entropy
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assert entropy._CRITICAL_H is cal.ENTROPY_CRITICAL_H
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assert entropy._CRITICAL_LEN is cal.ENTROPY_CRITICAL_LEN
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assert entropy._HIGH_H is cal.ENTROPY_HIGH_H
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assert entropy._HIGH_LEN is cal.ENTROPY_HIGH_LEN
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assert entropy._MEDIUM_H is cal.ENTROPY_MEDIUM_H
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assert entropy._MEDIUM_LEN is cal.ENTROPY_MEDIUM_LEN
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assert entropy._BASE64_FLOOR_LEN is cal.ENTROPY_BASE64_FLOOR_LEN
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assert entropy._HEX_FLOOR_LEN is cal.ENTROPY_HEX_FLOOR_LEN
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def test_lexicon_module_sources_from_calibration():
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from llm_ingestion_guard import lexicon
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assert lexicon.MAX_SCAN_CHARS is cal.MAX_SCAN_CHARS
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assert lexicon._ROT13_MIN_LEN is cal.ROT13_MIN_LEN
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def test_output_module_sources_from_calibration():
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# The bound is baked into the compiled patterns, so `is` on a module
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# attribute cannot prove sourcing here -- assert the compiled regex carries
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# the calibrated number instead.
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from llm_ingestion_guard import output
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assert output.MAX_CONNSTR_VALUE is cal.MAX_CONNSTR_VALUE
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connstr = [p for p in output._SECRET_PATTERNS if p.id.endswith("-connstr")]
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assert len(connstr) == 4
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for pattern in connstr:
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assert f"{{1,{cal.MAX_CONNSTR_VALUE}}}" in pattern.regex.pattern
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def test_disposition_module_sources_from_calibration():
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from llm_ingestion_guard import disposition
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from llm_ingestion_guard.disposition import Disposition
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# Enum-keyed rank reconstructed from calibration's value-keyed source.
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assert disposition._DISPOSITION_RANK == {
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Disposition.WARN: 0,
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Disposition.QUARANTINE_REVIEW: 1,
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Disposition.FAIL_SECURE: 2,
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}
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def test_active_content_module_sources_from_calibration():
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from llm_ingestion_guard import active_content
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assert active_content._SEVERITY is cal.ACTIVE_CONTENT_SEVERITY
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assert active_content._ORDINARY_SEVERITY is cal.ACTIVE_CONTENT_ORDINARY_SEVERITY
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assert active_content._OPAQUE_H is cal.URL_OPAQUE_ENTROPY_H
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assert active_content._OPAQUE_MIN_LEN is cal.URL_OPAQUE_MIN_LEN
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assert active_content._OPAQUE_HEX_LEN is cal.URL_OPAQUE_HEX_MIN_LEN
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