T09 · Insecure Skill Coding Practices
- Location
scripts/generate_palette.mjs:72- Finding
Palette and Image-Derived Color Data Transmitted over Unencrypted HTTP
- Content
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-colors 8 -unique-colors \ -format "%c\n" histogram:info:- \ | sed -E 's/^[[:space:]]+//' > "$HIST_FILE" # Parse histogram to JSON python3 "$SCRIPT_DIR/parse_histogram.py" < "$HIST_FILE" > "$SAMPLED_FILE" # Extract base RGB color BASE_RGB=$(python3 "$SCRIPT_DIR/get_base_rgb.py" "$SAMPLED_FILE") # Generate Colormind palette node "$SCRIPT_DIR/generate_palette.mjs" --model "$MODEL" \ --input "$BASE_RGB" N N N N > "$COLORMIND_FILE" ``` ### Technical Analysis The scripts communicate with the Colormind service using plain HTTP. HTTP does not provide transport encryption, endpoint authentication, or response integrity. Consequently, any party capable of observing or modifying traffic between the host and the API can read the submitted model and RGB values or alter requests and responses. The image-processing workflow extracts the dominant RGB color from a local image and forwards that value to `generate_palette.mjs`. Although the complete image is not uploaded, the derived color information may still be sensitive when it represents proprietary branding, private designs, documents, or other confidential visual material. The model-list request does not transmit image data, but its response can still be modified in transit. The generated palette r ...[truncated 1905 chars]- Remediation
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