- LOGIN_ATTEMPT_LIMIT: 500 -> 30 in Dockerfile (matching code default)
- RATE_LIMIT_PER_MIN=0 now means no global limit (50K ceiling) instead
of 1 req/min, preserving backward compatibility with existing deploys
while keeping per-route limits (login brute-force) active
archiver v8 changed its default export, breaking all ZIP-producing
tools (pdf-to-image, split, batch, favicon, bulk-rename, svg-to-raster).
Reverted to v7 -- the lodash vulnerability via archiver is _.template
which is never called directly.
@fastify/static v9 has breaking changes incompatible with the current
static file serving setup. Reverted to v8 -- the path traversal CVEs
in v8 are mitigated by the existing path traversal guards in files.ts.
Updated edge-cases test to expect 400 for >64KB settings payloads
(new security limit).
Tests expected 422 for corrupted image data, but the API correctly
returns 400 since corruption is caught during validation (unrecognized
format), not during processing. Also fix watermark-image route passing
a hardcoded "watermark" string instead of the actual uploaded filename
to validateImageBuffer, which broke SVGZ detection.
validateImageBuffer catches corrupt image data before processing
reaches the tool handler, so the correct status code is 400 (bad
request) rather than 422 (processing failure). Also fix SVGZ
watermark validation by returning early for compressed SVG (Sharp
cannot read gzip-compressed SVGZ directly) and passing the actual
watermark filename to validateImageBuffer for correct format
detection.
Auth: login rate limit 30/min (was 500), global rate limit 1000/min (was
unlimited), password/username max lengths on all Zod schemas, session
invalidation on role change, API key legacy scan bounded to 100 keys.
SVG: hardened regex sanitizer with CDATA stripping, XML entity decoding,
set/animate/iframe/embed blocking, comprehensive data: URI blocking,
use element external href blocking. 11 attack payload fixtures added.
SSRF: fixed DNS rebinding TOCTOU by pinning resolved IPs via custom
HTTP/HTTPS agents. Added 6to4 and NAT64 to blocked IPv6 ranges.
Docker: capability dropping (cap_drop ALL + minimal cap_add), resource
limits (4g/8g mem, 512/1024 pids), healthcheck timeout, password
removed from startup banner, default password warning comments.
Network: CSP and HSTS applied in all environments (not just production),
stack traces removed from all error responses, internal paths stripped
from error details, per-route rate limits on uploads (60/min) and URL
fetches (200/hour).
Files: exclusive temp file creation (O_EXCL), disk space circuit
breaker, per-user storage quotas, settings payload 64KB size guard.
Python sidecar: script name allowlist in dispatcher, minimal environment
for subprocess spawns.
Dependencies: fixed 6 production CVEs (drizzle-orm, fastify, fast-uri,
@fastify/static, next, archiver/lodash). Pinned all GitHub Actions to
SHA hashes.
114 security tests added. Full OWASP Top 10 penetration test matrix
verified against production Docker container (30/30 pass after
hardening).
Covers session response fields, password guards, users list,
config endpoint, login redirect, callback edge cases, and
backward compatibility. Also adds migration to make password_hash
nullable (required for OIDC-only users) and vitest aliases for
@fastify/cookie and openid-client.
The transparency-fixer now directly detects the baked-in checkerboard
pattern using per-pixel chroma analysis instead of BiRefNet AI matting.
Achromatic pixels in the gray range are classified as background
(transparent), chromatic pixels as foreground (opaque), with smooth
transitions at anti-aliased edges.
- No longer requires Python sidecar or background-removal bundle
- Watermark removal uses Sharp median(5) filter pre-processing
- Moved tool from "ai" to "utilities" category
- Removed from PYTHON_SIDECAR_TOOLS and background-removal enablesTools
- Near-instant processing (pure Sharp, no model inference)
The luminance anomaly detection + LaMa inpainting approach failed because
watermark signal on the matted foreground was too weak (10-15 units vs
threshold of 25). Median filter with kernel=5 effectively removes
semi-transparent watermark text while preserving the stamp structure.
Pipeline is now: median filter (if toggle on) -> BiRefNet matting -> defringe.
No longer requires object-eraser-colorize bundle for watermark removal.
Add tier enum (fast/balanced/high) with balanced default to the Zod
settings schema. Pass tier through to outpaint options in both the HTTP
route and the pipeline/batch registry. Fix log message to say
"Starting AI canvas expand" and include tier in structured log fields.
- Fix dispatcher pipe deadlock: drain stdout pipe in a background thread
to prevent blocking when ONNX runtime output exceeds 64KB pipe buffer
- Add 5-minute SSE stall timeout so the UI shows an error instead of
hanging forever when async AI processing stalls
- Guard CPU colorization: skip for images >2MP on CPU and when DDColor
model is not installed, with clear user-facing messages
- Add AVIF decode fallback via ImageMagick for bitstream variants that
Sharp's bundled libheif cannot decode (affects all tools)
EXR: add ffmpeg fallback when ImageMagick lacks the OpenEXR delegate
(common on macOS Homebrew installs). HDR: force 8-bit depth output to
prevent CLAHE crash (hist_local requires VIPS_FORMAT_UCHAR). Batch:
disable socket timeout and increase server requestTimeout to 30 min
so large AI batches don't get killed by Node.js defaults.
HDR and EXR files decoded by ImageMagick can produce 16-bit PNG buffers.
Sharp's CLAHE operation (hist_local) requires VIPS_FORMAT_UCHAR (8-bit).
Check the buffer depth and convert to 8-bit sRGB before processing.
The wrapper used inline-block for tools without overlay children (e.g.
border). CSS maxHeight: 100% on the img inside an inline-block parent
without explicit height does not resolve, so tall images rendered at
natural height and got clipped by overflow: hidden. Unify both code
paths to always use inline-flex + column, where the flex item properly
shrinks within the container's maxHeight constraint.
Sharp's TIFF encoder silently strips the alpha channel, flattening
transparency against black. This caused border (corner radius, shadow),
beautify, and replace-color tools to produce wrong output for TIFF
inputs when the operation needs transparency. Remove TIFF from
ALPHA_FORMATS so these tools fall back to PNG output.
The find-duplicates tool failed entirely when any uploaded file couldn't
be processed, returning "Duplicate detection failed" or a format-specific
error that aborted the whole batch. With mixed-format uploads (77 files),
this made the tool unusable.
- Skip unprocessable files instead of aborting; return skippedFiles in response
- Switch from fetch() to XHR with upload progress tracking (Uploading X%)
- Add Vite proxy timeout config (5min) to prevent connection drops on large uploads
- Add "Download Grouped" button: ZIP with each duplicate group in its own folder
- Add collapsible skipped-files section in the results UI
- Add 3 integration tests for skip behavior (43 total)
The image element used flex: 1 1 0 (basis 0) inside the inline-flex
preview wrapper, causing it to collapse to zero height whenever a
device frame or watermark overlay was present. Changed to flex: 0 1 auto
so the image uses its intrinsic height and can shrink if needed.
Added regression e2e tests verifying every preset keeps the image
visible, and that adding a watermark does not collapse the image
regardless of whether a frame is active.
setError() in the file store unconditionally set processing to false,
even when called with null to clear a previous error. This meant
setProcessing(true) followed by setError(null) at the start of
processing would immediately kill the processing state, preventing the
progress bar from ever rendering.
Fix setError to only reset processing when there is an actual error.
This also fixes the same latent bug in 10+ other custom tool settings
components that call setProcessing before setError.
Custom-route tools (split, compare, collage, find-duplicates, etc.) only
handled HEIC via ensureSharpCompat, failing on BMP, PSD, RAW, TGA, EXR,
HDR, JXL, and other formats Sharp cannot decode natively. Added the full
decode pipeline from createToolRoute to all 16 affected routes: format
validation via validateImageBuffer, HEIC decoding with actionable error
messages, CLI-based exotic format decoding with nested fallback, and SVG
sanitization to prevent XXE/SSRF/script injection.
The vectorize tool had a custom processing flow that bypassed the
standard useToolProcessor hook -- no progress indication, no server-side
batch, and the Download All ZIP relied on a client-side sequential loop.
Backend: extract core logic into vectorizeBuffer(), register via
registerToolProcessFn() so the /batch endpoint works with p-queue
concurrency and SSE progress events.
Frontend: replace custom fetch loop with useToolProcessor hook and
ProgressCard, giving upload progress, per-file batch status, and
automatic Download All ZIP via the existing tool-page infrastructure.
Also set image/svg+xml MIME type on SVG blobs during batch ZIP
extraction to ensure reliable rendering in <img> tags across browsers.
Adds fileFilter and acceptDescription props to Dropzone so tools can
restrict accepted file types across all entry paths (file picker,
drag-and-drop, paste, single URL import, bulk URL import).
Background images, device frames, custom shadows, and watermark text
were not rendering in the right-pane preview. The preview now updates
in real time for all settings: gradient/solid/image backgrounds, macOS/
Windows/Browser frame chrome, iPhone/MacBook/iPad frame indicators,
custom shadow parameters, and watermark text overlay.
Also fixes a React StrictMode effect-ordering race where the parent
tool-page reset cleared preview state set by the child Settings
component on initial mount.
SnapOtter