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v2.26.0: fix SSE fanout crash and branded logo FOUC

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- Fix SSE fanout thread AttributeError when source queue is None during
  interpreter shutdown by snapshotting to local variable with null guard
- Fix branded "i" logo rendering oversized on first page load (FOUC) by
  adding inline width/height to SVG elements across 10 templates
- Bump version to 2.26.0 in config.py, pyproject.toml, and CHANGELOG.md

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Smittix
2026-03-13 11:51:27 +00:00
parent 00362bcd57
commit e00fbfddc1
183 changed files with 2006 additions and 4243 deletions
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73
utils/tscm/advanced.py
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@@ -24,7 +24,7 @@ import subprocess
from dataclasses import dataclass, field
from datetime import datetime, timedelta
from enum import Enum
from typing import Any, Optional
from typing import Any
logger = logging.getLogger('intercept.tscm.advanced')
@@ -893,10 +893,10 @@ def _calculate_baseline_health(diff: BaselineDiff, baseline: dict) -> None:
class DeviceObservation:
"""A single observation of a device."""
timestamp: datetime
rssi: Optional[int] = None
rssi: int | None = None
present: bool = True
channel: Optional[int] = None
frequency: Optional[float] = None
channel: int | None = None
frequency: float | None = None
attributes: dict = field(default_factory=dict)
@@ -910,21 +910,21 @@ class DeviceTimeline:
"""
identifier: str
protocol: str
name: Optional[str] = None
name: str | None = None
# Observation history (time-bucketed)
observations: list[DeviceObservation] = field(default_factory=list)
# Computed metrics
first_seen: Optional[datetime] = None
last_seen: Optional[datetime] = None
first_seen: datetime | None = None
last_seen: datetime | None = None
total_observations: int = 0
presence_ratio: float = 0.0 # % of time device was present
# Signal metrics
rssi_min: Optional[int] = None
rssi_max: Optional[int] = None
rssi_mean: Optional[float] = None
rssi_min: int | None = None
rssi_max: int | None = None
rssi_mean: float | None = None
rssi_stability: float = 0.0 # 0-1, higher = more stable
# Movement assessment
@@ -991,17 +991,17 @@ class TimelineManager:
self.bucket_seconds = bucket_seconds
self.max_observations = max_observations
self.timelines: dict[str, DeviceTimeline] = {}
self._meeting_windows: list[tuple[datetime, Optional[datetime]]] = []
self._meeting_windows: list[tuple[datetime, datetime | None]] = []
def add_observation(
self,
identifier: str,
protocol: str,
rssi: Optional[int] = None,
channel: Optional[int] = None,
frequency: Optional[float] = None,
name: Optional[str] = None,
attributes: Optional[dict] = None
rssi: int | None = None,
channel: int | None = None,
frequency: float | None = None,
name: str | None = None,
attributes: dict | None = None
) -> None:
"""Add an observation for a device."""
key = f"{protocol}:{identifier.upper()}"
@@ -1080,7 +1080,7 @@ class TimelineManager:
return True
return False
def compute_metrics(self, identifier: str, protocol: str) -> Optional[DeviceTimeline]:
def compute_metrics(self, identifier: str, protocol: str) -> DeviceTimeline | None:
"""Compute all metrics for a device timeline."""
key = f"{protocol}:{identifier.upper()}"
if key not in self.timelines:
@@ -1125,7 +1125,7 @@ class TimelineManager:
return timeline
def get_timeline(self, identifier: str, protocol: str) -> Optional[DeviceTimeline]:
def get_timeline(self, identifier: str, protocol: str) -> DeviceTimeline | None:
"""Get computed timeline for a device."""
return self.compute_metrics(identifier, protocol)
@@ -1150,9 +1150,9 @@ class MeetingWindowSummary:
and applies meeting-window scoring modifiers.
"""
meeting_id: int
name: Optional[str] = None
start_time: Optional[datetime] = None
end_time: Optional[datetime] = None
name: str | None = None
start_time: datetime | None = None
end_time: datetime | None = None
duration_minutes: float = 0.0
# Devices first seen during meeting (high interest)
@@ -1431,7 +1431,7 @@ class WiFiAdvancedDetector:
self.indicators.extend(indicators)
return indicators
def add_probe_request(self, frame: dict) -> Optional[WiFiAdvancedIndicator]:
def add_probe_request(self, frame: dict) -> WiFiAdvancedIndicator | None:
"""
Record a probe request frame (requires monitor mode).
@@ -1475,7 +1475,7 @@ class WiFiAdvancedDetector:
details={
'ssid': ssid,
'probe_count': len(recent_probes),
'source_macs': list(set(p['src_mac'] for p in recent_probes)),
'source_macs': list({p['src_mac'] for p in recent_probes}),
'pattern': 'Multiple probe requests for potentially sensitive network',
},
requires_monitor_mode=True,
@@ -1485,7 +1485,7 @@ class WiFiAdvancedDetector:
return None
def add_deauth_frame(self, frame: dict) -> Optional[WiFiAdvancedIndicator]:
def add_deauth_frame(self, frame: dict) -> WiFiAdvancedIndicator | None:
"""
Record a deauthentication frame (requires monitor mode).
@@ -1523,7 +1523,7 @@ class WiFiAdvancedDetector:
'deauth_count': len(recent_deauths),
'time_window_seconds': 10,
'targeted_bssid': bssid if targeting_bssid else None,
'unique_sources': len(set(d['src_mac'] for d in recent_deauths)),
'unique_sources': len({d['src_mac'] for d in recent_deauths}),
'pattern': 'Abnormal deauthentication frame volume',
},
requires_monitor_mode=True,
@@ -1574,7 +1574,7 @@ class BLERiskExplanation:
and recommended actions.
"""
identifier: str
name: Optional[str] = None
name: str | None = None
# Risk assessment
risk_level: str = 'informational'
@@ -1588,7 +1588,7 @@ class BLERiskExplanation:
# Tracker detection
is_tracker: bool = False
tracker_type: Optional[str] = None
tracker_type: str | None = None
tracker_explanation: str = ''
# Meeting correlation
@@ -1686,7 +1686,7 @@ def estimate_ble_proximity(rssi: int) -> tuple[BLEProximity, str, str]:
def generate_ble_risk_explanation(
device: dict,
profile: Optional[dict] = None,
profile: dict | None = None,
is_during_meeting: bool = False
) -> BLERiskExplanation:
"""
@@ -1722,7 +1722,7 @@ def generate_ble_risk_explanation(
explanation.proximity_explanation = "Could not parse RSSI value"
# Tracker detection with explanation
tracker_info = device.get('tracker_type') or device.get('is_tracker')
device.get('tracker_type') or device.get('is_tracker')
if device.get('is_airtag'):
explanation.is_tracker = True
explanation.tracker_type = 'Apple AirTag'
@@ -1902,7 +1902,7 @@ class PlaybookStep:
step_number: int
action: str
details: str
safety_note: Optional[str] = None
safety_note: str | None = None
@dataclass
@@ -2145,8 +2145,8 @@ PLAYBOOKS = {
def get_playbook_for_finding(
risk_level: str,
finding_type: Optional[str] = None,
indicators: Optional[list[dict]] = None
finding_type: str | None = None,
indicators: list[dict] | None = None
) -> OperatorPlaybook:
"""
Get appropriate playbook for a finding.
@@ -2166,9 +2166,8 @@ def get_playbook_for_finding(
# Check indicators for tracker
if indicators:
tracker_types = ['airtag_detected', 'tile_detected', 'smarttag_detected', 'known_tracker']
if any(i.get('type') in tracker_types for i in indicators):
if risk_level == 'high_interest':
return PLAYBOOKS['high_interest_tracker']
if any(i.get('type') in tracker_types for i in indicators) and risk_level == 'high_interest':
return PLAYBOOKS['high_interest_tracker']
# Return based on risk level
if risk_level == 'high_interest':
@@ -2207,8 +2206,8 @@ def attach_playbook_to_finding(finding: dict) -> dict:
# Global Instance Management
# =============================================================================
_timeline_manager: Optional[TimelineManager] = None
_wifi_detector: Optional[WiFiAdvancedDetector] = None
_timeline_manager: TimelineManager | None = None
_wifi_detector: WiFiAdvancedDetector | None = None
def get_timeline_manager() -> TimelineManager: