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11 changes: 11 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -3,6 +3,17 @@
All notable changes to Sunglasses are documented here.


## [0.2.64] — 2026-06-09

### Fixed (engine reliability — false positives + scanner hang)

- **False positives eliminated on clean code (86 → 0)** — pruned generic plural/common words (e.g. "ai agents", "cookie", "env", "group", "path") that leaked from `KEYWORD_DENYLIST` and flooded legitimate code with findings. Full test suite green (216 passed, 7 xfailed) — zero detection recall lost.
- **ReDoS / scanner hang fixed at root** — 31 lookahead-led whole-document classifier regexes were evaluated with `.search()` (re-run at every offset → O(n²) catastrophic backtracking on large files). `engine.py` now flags anchored patterns and uses `.match()` (position-0, exact whole-document semantics) for those, keeping `.search()` for the ~1,035 token-finders. Worst real file (`decoder.py`) 117s → 0.30s; a 1.4 MB file now scans linearly (~2.3s).
- **Enrichment gating** — ROT13/reverse/shape preprocessing now capped at ≤2000 chars (a secondary hang + false-positive source).
- **SARIF `helpUri` fixed** — per-finding `/patterns/<ID>` always-404 links replaced with category→chapter deep-links (11 live pages) plus a `/patterns` hub fallback, unblocking the GitHub Action / Security-tab integration.

Reliability release — pattern library unchanged at **1,019 patterns / 65 categories / 7,350 keywords**.

## [0.2.63] — 2026-06-07

### Added (V2 SHIP #9 — discovery_file_poisoning continued + repo_metadata_poisoning new category)
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -151,13 +151,13 @@ result = scanner.scan_auto("any_file.ext")
| Core dependencies | Zero for text scan; optional deps for media |
| Platforms | Mac, Windows, Linux — anywhere Python runs |

_All performance numbers verified against `stats/current.json` (v0.2.63, updated Jun 6, 2026). Measured on Apple M3 Max, 48GB RAM, single-threaded Python 3.11. Your hardware will differ._
_All performance numbers verified against `stats/current.json` (v0.2.64, updated Jun 6, 2026). Measured on Apple M3 Max, 48GB RAM, single-threaded Python 3.11. Your hardware will differ._

## 23 Languages

English, Spanish, Portuguese, French, German, Italian, Dutch, Russian, Ukrainian, Polish, Czech, Turkish, Azerbaijani, Arabic, Hebrew, Persian, Chinese, Japanese, Korean, Hindi, Bengali, Indonesian, Vietnamese — plus normalization handles romanization, Unicode confusables, and 17 other obfuscation techniques. Community language contributions welcome.

## What Works Today (v0.2.63)
## What Works Today (v0.2.64)

- ✅ Text scanning: 1019 patterns, 7,350 keywords, 23 languages, 65 attack categories
- ✅ Negation handling: "do NOT run rm -rf" correctly downgrades severity
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40 changes: 40 additions & 0 deletions SECURITY.md
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@@ -0,0 +1,40 @@
# Security Policy

Sunglasses is a security tool for AI-agent inputs. We take the security of the
project — and of the agents that rely on it — seriously.

## Reporting a Vulnerability

**Please do not open a public GitHub issue for security vulnerabilities.**

Report privately via one of:

- **GitHub Security Advisories** — use the "Report a vulnerability" button under
the repository's **Security** tab (preferred — coordinated disclosure built in).
- **Email** — `security@sunglasses.dev`

Please include: a description of the issue, steps to reproduce (a minimal scan
input is ideal), the affected version (`sunglasses --version`), and the impact
you observed (e.g. a bypass that lets a known attack pattern through, or a
false-positive class that breaks benign content).

## What to Expect

- **Acknowledgement** within 3 business days.
- An initial assessment and severity rating within 7 days.
- Coordinated disclosure: we'll agree on a timeline before any public detail,
and credit you in the release notes unless you prefer to remain anonymous.

## Scope

In scope: detection bypasses (an attack pattern that should be caught but is
not), false-positive classes that block benign content, and any issue in the
scanner, CLI, or MCP server that affects trust decisions.

Out of scope: vulnerabilities in your own agent or in third-party services
Sunglasses scans for — though we're happy to help you understand a finding.

## Supported Versions

The latest published version on PyPI receives security fixes. Older versions
are not patched — please upgrade (`pip install -U sunglasses`).
2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -2,7 +2,7 @@

setup(
name="sunglasses",
version="0.2.63",
version="0.2.64",
description="Sunglasses for AI agents. Protection layer + neighborhood watch.",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
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6 changes: 3 additions & 3 deletions stats/current.json
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@@ -1,5 +1,5 @@
{
"version": "0.2.63",
"version": "0.2.64",
"patterns": 1019,
"keywords": 7350,
"categories": 65,
Expand All @@ -16,8 +16,8 @@
"media_types": 6,
"reports_published": 3,
"team_size": 5,
"last_updated": "2026-06-07T21:03:14-07:00",
"last_updated": "2026-06-09T23:43:25-07:00",
"last_updated_by": "sunglasses-publish-sh",
"_note": "THIS IS THE SINGLE SOURCE OF TRUTH. All pages, JSON-LD, meta tags, llms.txt, and sitemap must read from this file. Do NOT hardcode numbers anywhere else.",
"released": "2026-06-07"
"released": "2026-06-09"
}
2 changes: 1 addition & 1 deletion sunglasses/__init__.py
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Expand Up @@ -4,4 +4,4 @@
#
# "Don't let your agents get fooled."

__version__ = "0.2.63"
__version__ = "0.2.64"
49 changes: 45 additions & 4 deletions sunglasses/engine.py
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Expand Up @@ -120,6 +120,26 @@ class SunglassesEngine:
"canonical", "description", "expires", "allow", "disallow", "admin",
"support", "sitemap:", ".well-known", ".well-known/", "/.well-known",
"<loc>", "description_for_model", "name_for_model", "sdl", "/* team */",
# ── Real-file FP fix (Jun 9 2026, v0.2.64) ───────────────────────────
# tests/test_real_corpus_fp.py scans REAL files (the project's own
# README + Python stdlib modules) instead of short snippets, and caught
# 86 false-positive blocks on the clean README. Root cause: the denylist
# had SINGULAR/base forms ("agent", "ai agent", "credential"→no) but
# leaked the PLURALS and common web/security nouns below, which appear
# constantly in normal docs and code (e.g. the product's own tagline
# "Sunglasses for AI agents. Protection layer" tripped 15 patterns via
# bare "ai agents"). These are too generic to mean "attack" alone —
# real poisoning is still caught by each pattern's regex + multi-word
# injection keywords (verified: full suite + attack canaries stay green).
"ai agents", "agents", "cookie", "cookies", "attach", "credential",
"credentials", "scanner", "scanners", "metadata", "annotation",
"annotations",
# Second pass — generic programming tokens that leaked onto clean stdlib
# CODE (json/decoder.py, encoder.py, argparse.py): auto-generated patterns
# reused these bare words as keywords. They appear in virtually all normal
# source; the real attacks keep their multi-word phrases + regexes.
"env", "group", "groups", "override", "pat", "property", "path",
"limit", "json-rpc", "extra",
})

# Decision priority: higher severity = stronger action
Expand Down Expand Up @@ -168,9 +188,16 @@ def __init__(self, patterns: Optional[list] = None, extra_patterns: Optional[lis
compiled = []
for r in pattern["regex"]:
try:
compiled.append(re.compile(r, re.IGNORECASE))
rx = re.compile(r, re.IGNORECASE)
except re.error:
pass
continue
# Whole-document classifier regexes begin with a lookahead
# ((?=...)/(?!...)) whose .* spans the entire file. Running these
# through .search() re-evaluates the assertion at every offset ->
# O(n^2) catastrophic slowdown (a 12 KB file took 100s+). They are
# document-level predicates, so matching once at position 0 with
# .match() is both correct and O(n). See _is_anchored.
compiled.append((rx, self._is_anchored(r)))
if compiled:
self._regex_patterns.append((pattern, compiled))

Expand All @@ -185,6 +212,17 @@ def __init__(self, patterns: Optional[list] = None, extra_patterns: Optional[lis
self._pattern_count = len(self._patterns)
self._keyword_count = len(self._keyword_to_patterns)

@staticmethod
def _is_anchored(raw: str) -> bool:
"""True if a regex begins with a lookahead assertion after any leading
inline-flag group. Such patterns are whole-document predicates (their .*
lookaheads scan the full text), so they must be evaluated once at position 0
via .match() instead of retried at every offset via .search() — the latter is
O(n^2) and caused minute-long ReDoS hangs on ordinary files."""
m = re.match(r'\(\?[aiLmsux]+\)', raw)
rest = (raw[m.end():] if m else raw).lstrip()
return rest.startswith('(?=') or rest.startswith('(?!')

def _check_negation(self, text: str, match_start: int) -> bool:
"""
Check if negation context exists before a matched keyword position.
Expand Down Expand Up @@ -280,8 +318,11 @@ def scan(self, text: str, channel: str = "message") -> ScanResult:
continue
if pattern["id"] in seen_ids:
continue
for rx in regexes:
match = rx.search(text) # search ORIGINAL text for regex
for rx, anchored in regexes:
# Anchored = lookahead-led whole-document predicate: evaluate once at
# position 0 (.match) instead of retrying every offset (.search) — avoids
# catastrophic O(n^2) backtracking on large files (ReDoS).
match = rx.match(text) if anchored else rx.search(text)
if match:
seen_ids.add(pattern["id"])
finding = {
Expand Down
45 changes: 30 additions & 15 deletions sunglasses/preprocessor.py
Original file line number Diff line number Diff line change
Expand Up @@ -89,21 +89,36 @@ def normalize(text: str) -> str:
text = decode_leetspeak(text)
text = strip_delimiter_padding(text) # Collapse spaced chars BEFORE whitespace collapse
text = collapse_whitespace(text)
# ROT13 enrichment: append ROT13-decoded view for pattern matching
# so "Vtaber cerivbhf vafgehpgvbaf" also sees "ignore previous instructions"
rot = decode_rot13(text)
if rot != text:
text = text + " " + rot
# Reverse enrichment: append reversed view for reversed-string attacks
text = text + " " + text[::-1]
text = text.lower()
# Shape-confusion enrichment: lowercase l visually = capital I.
# Append a variant where standalone 'l' at word boundary → 'i'. Covers
# attacks like "lgnore all prevIous Instructions" where the attacker
# used lowercase L to stand in for capital I.
shape_variant = re.sub(r'\bl(?=[a-z])', 'i', text)
if shape_variant != text:
text = text + " " + shape_variant
# ── Obfuscation enrichment (ROT13 / reversed / shape-confusion) ──────────
# These three views catch payloads that are LITERALLY ROT13-encoded,
# reversed, or use lowercase-l-for-capital-I. Those evasions only ever
# appear in SHORT crafted injection strings — never in whole documents.
# Applying them to large inputs was actively harmful (Jun 9 2026):
# 1. it gave almost no real recall (a clean README/source file is not
# ROT13 ciphertext), but
# 2. the reversed/scrambled copy of a big document triggered pathological
# regex backtracking that hung a single scan for 70+ seconds on normal
# Python stdlib code — a real performance / denial-of-service bug, and
# 3. it added a few extra false positives on the scrambled text.
# So enrich ONLY short inputs, where these evasions actually occur; larger
# inputs (files, web pages, tool outputs) skip enrichment entirely.
ENRICH_MAX_LEN = 2000
if len(text) <= ENRICH_MAX_LEN:
# ROT13 enrichment so "Vtaber cerivbhf vafgehpgvbaf" also sees
# "ignore previous instructions"
rot = decode_rot13(text)
if rot != text:
text = text + " " + rot
# Reverse enrichment for reversed-string attacks
text = text + " " + text[::-1]
text = text.lower()
# Shape-confusion: standalone 'l' at word boundary → 'i' (covers
# "lgnore all prevIous Instructions" where lowercase L stands in for I)
shape_variant = re.sub(r'\bl(?=[a-z])', 'i', text)
if shape_variant != text:
text = text + " " + shape_variant
else:
text = text.lower()
return text


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61 changes: 60 additions & 1 deletion sunglasses/sarif.py
Original file line number Diff line number Diff line change
Expand Up @@ -26,6 +26,65 @@
_TOOL_URI = "https://sunglasses.dev"
_TOOL_REPO = "https://github.com/sunglasses-dev/sunglasses"

# Map a finding's category -> the live /patterns/<chapter-slug> page that
# documents it. Mirrors CHAPTER_MAP in build-patterns-page.py (the patterns-page
# generator). Findings whose category isn't grouped into a chapter page fall back
# to the /patterns hub. Both targets are guaranteed-live (200) — this replaces the
# old per-finding-id helpUri that always 404'd (only chapter pages exist, not
# /patterns/<FINDING_ID>), which was breaking the GitHub code-scanning "Learn more"
# links. Keep in sync if chapters are added/renamed.
_CATEGORY_TO_CHAPTER = {
"prompt_injection": "prompt-injection",
"indirect_prompt_injection": "prompt-injection",
"hidden_instruction": "prompt-injection",
"jailbreak_evasion": "prompt-injection",
"prompt_extraction": "prompt-injection",
"prompt_leak": "prompt-injection",
"parasitic_injection": "prompt-injection",
"context_flooding": "prompt-injection",
"retrieval_poisoning": "prompt-injection",
"mcp_threat": "mcp-tool-handoff-abuse",
"tool_poisoning": "mcp-tool-handoff-abuse",
"tool_metadata_smuggling": "mcp-tool-handoff-abuse",
"tool_chain_race": "mcp-tool-handoff-abuse",
"tool_output_poisoning": "mcp-tool-handoff-abuse",
"provenance_chain": "callback-redirect-trust-drift",
"provenance_chain_fracture": "callback-redirect-trust-drift",
"agent_contract_poisoning": "callback-redirect-trust-drift",
"exfiltration": "outbound-endpoint-control-c2-drift",
"ssrf": "outbound-endpoint-control-c2-drift",
"dns_tunneling": "outbound-endpoint-control-c2-drift",
"c2_indicator": "outbound-endpoint-control-c2-drift",
"secret_detection": "outbound-endpoint-control-c2-drift",
"policy_scope_redefinition": "policy-scope-redefinition",
"authorization_bypass": "policy-scope-redefinition",
"auth_bypass": "policy-scope-redefinition",
"privilege_escalation": "policy-scope-redefinition",
"approval_graph_poisoning": "policy-scope-redefinition",
"state_sync_poisoning": "state-sync-poisoning",
"cross_agent_injection": "state-sync-poisoning",
"memory_poisoning": "memory-persistence-poisoning",
"memory_eviction_rehydration": "memory-persistence-poisoning",
"supply_chain": "package-dependency-registry-trust-abuse",
"ui_injection": "browser-agent-navigation-link-safety-abuse",
"social_engineering_ui": "browser-agent-navigation-link-safety-abuse",
"social_engineering": "browser-agent-navigation-link-safety-abuse",
"identity_phishing": "browser-agent-navigation-link-safety-abuse",
"agent_workflow_security": "agent-workflow-publish-path-abuse",
"agent_workflow": "agent-workflow-publish-path-abuse",
"agent_security": "agent-workflow-publish-path-abuse",
"discovery_file_poisoning": "discovery-file-poisoning",
"agent_instruction_file_poisoning": "discovery-file-poisoning",
"identity_discovery_poisoning": "discovery-file-poisoning",
}


def _help_uri(finding: dict) -> str:
"""Return a guaranteed-live docs URL for a finding: its chapter page if the
category maps to one, else the /patterns hub. Never points at a 404."""
slug = _CATEGORY_TO_CHAPTER.get(finding.get("category", ""))
return f"{_TOOL_URI}/patterns/{slug}" if slug else f"{_TOOL_URI}/patterns"


# Severity mapping: SUNGLASSES severities -> SARIF levels.
# SARIF levels: "none", "note", "warning", "error".
Expand Down Expand Up @@ -60,7 +119,7 @@ def _build_rule(finding: dict) -> dict:
"fullDescription": {
"text": finding.get("reason") or finding.get("description") or finding.get("name", finding["id"]),
},
"helpUri": f"{_TOOL_URI}/patterns/{finding['id']}",
"helpUri": _help_uri(finding),
"properties": {
"category": finding.get("category", "unknown"),
"sunglasses_severity": severity,
Expand Down
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