5146204f1b
- Introduced `sink-detect.js` with various security sink detection patterns categorized by type (e.g., command injection, SQL injection, file operations). - Implemented functions to build a lookup map for fast sink detection and to match sink calls against known patterns. - Added `package-lock.json` for dependency management.
170 lines
4.6 KiB
JSON
170 lines
4.6 KiB
JSON
{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"$id": "https://stella-ops.org/schemas/calibration-manifest/1.0.0",
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"title": "Calibration Manifest",
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"description": "Record of trust vector calibration based on post-mortem truth comparison",
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"type": "object",
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"required": ["manifestId", "sourceId", "epochNumber", "calibratedAt"],
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"properties": {
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"manifestId": {
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"type": "string",
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"description": "Unique identifier for this calibration record"
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},
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"sourceId": {
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"type": "string",
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"description": "VEX source being calibrated"
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},
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"tenant": {
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"type": "string",
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"description": "Tenant scope (optional for global calibration)"
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},
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"epochNumber": {
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"type": "integer",
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"description": "Calibration epoch number",
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"minimum": 1
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},
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"previousVector": {
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"$ref": "#/$defs/TrustVectorValues"
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},
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"calibratedVector": {
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"$ref": "#/$defs/TrustVectorValues"
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},
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"delta": {
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"$ref": "#/$defs/CalibrationDelta"
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},
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"comparison": {
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"$ref": "#/$defs/ComparisonResult"
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},
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"detectedBias": {
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"type": "string",
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"description": "Detected bias type, if any",
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"enum": ["optimistic_bias", "pessimistic_bias", "scope_bias", "none"]
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},
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"configuration": {
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"$ref": "#/$defs/CalibrationConfiguration"
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},
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"calibratedAt": {
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"type": "string",
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"description": "When calibration was performed",
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"format": "date-time"
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},
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"manifestDigest": {
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"type": "string",
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"description": "SHA256 digest of this manifest",
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"pattern": "^sha256:[a-f0-9]{64}$"
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}
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},
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"$defs": {
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"TrustVectorValues": {
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"type": "object",
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"description": "Trust vector component values",
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"required": ["provenance", "coverage", "replayability"],
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"properties": {
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"provenance": {
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"type": "number",
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"minimum": 0,
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"maximum": 1
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},
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"coverage": {
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"type": "number",
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"minimum": 0,
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"maximum": 1
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},
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"replayability": {
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"type": "number",
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"minimum": 0,
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"maximum": 1
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}
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}
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},
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"CalibrationDelta": {
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"type": "object",
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"description": "Adjustment applied to trust vector",
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"properties": {
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"deltaP": {
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"type": "number",
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"description": "Change in provenance score"
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},
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"deltaC": {
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"type": "number",
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"description": "Change in coverage score"
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},
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"deltaR": {
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"type": "number",
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"description": "Change in replayability score"
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}
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}
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},
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"ComparisonResult": {
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"type": "object",
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"description": "Result of comparing claims to post-mortem truth",
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"required": ["sourceId", "accuracy"],
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"properties": {
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"sourceId": {
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"type": "string"
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},
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"accuracy": {
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"type": "number",
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"description": "Accuracy score (0-1)",
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"minimum": 0,
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"maximum": 1
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},
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"totalClaims": {
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"type": "integer",
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"description": "Total claims evaluated",
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"minimum": 0
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},
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"correctClaims": {
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"type": "integer",
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"description": "Claims matching post-mortem truth",
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"minimum": 0
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},
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"evaluationPeriodStart": {
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"type": "string",
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"format": "date-time"
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},
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"evaluationPeriodEnd": {
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"type": "string",
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"format": "date-time"
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}
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}
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},
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"CalibrationConfiguration": {
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"type": "object",
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"description": "Configuration used for calibration",
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"properties": {
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"learningRate": {
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"type": "number",
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"description": "Learning rate per epoch",
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"default": 0.02
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},
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"maxAdjustmentPerEpoch": {
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"type": "number",
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"description": "Maximum adjustment per epoch",
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"default": 0.05
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},
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"minValue": {
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"type": "number",
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"description": "Minimum trust component value",
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"default": 0.10
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},
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"maxValue": {
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"type": "number",
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"description": "Maximum trust component value",
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"default": 1.00
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},
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"momentumFactor": {
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"type": "number",
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"description": "Momentum factor for smoothing",
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"default": 0.9
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},
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"accuracyThreshold": {
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"type": "number",
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"description": "Threshold above which no calibration is needed",
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"default": 0.95
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}
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}
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}
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}
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}
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