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MEDIUM severity

CVE-2026-53522 — nezha

MEDIUM

CVE-2026-53522 is a medium-severity (CVSS 6.5) CWE-770 vulnerability in github.com/nezhahq/nezha. A fix is available for github.com/nezhahq/nezha — see the affected versions and patch details below.

Nezha Monitoring: Unbounded WebSocket Streams — Resource Exhaustion DoS

Also known asGHSA-jg62-j5h6-8mpqGO-2026-5831
Published
Jun 12, 2026
Updated
Aug 12, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 24, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.

Exploitation and automatability from CISA’s SSVC triage for CVE-2026-53522.

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs33th percentile — riskier than 33% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

CVE-2026-53522 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 378,156 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

1 pkg affected
🐹github.com/nezhahq/nezha

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects Go packages — download data is not available via public APIs for these ecosystems.

Description

1. Description

The Nezha dashboard exposes two endpoints that create long-lived WebSocket streams to monitored agents:

  • POST /api/v1/terminal → createTerminal() (terminal.go:27-67)
  • POST /api/v1/file → createFM() (fm.go:28-67)

Both call rpc.NezhaHandlerSingleton.CreateStream(streamId, ...) which inserts a new ioStreamContext into an unbounded map[string]*ioStreamContext (s.ioStreams in io_stream.go:59-67). There is no per-user rate limit, no global semaphore, and no per-server connection cap. Each stream allocates:

  1. A ioStreamContext struct with several channels and sync primitives
  2. Two goroutines via StartStream() (io_stream.go:358-369) — bidirectional io.CopyBuffer
  3. A gRPC IOStream between the dashboard and the agent
  4. An agent-side PTY/shell process

Vulnerable code:

terminal.go:27-67 — createTerminal:

func createTerminal(c *gin.Context) (*model.CreateTerminalResponse, error) {
    // ... validation ...
    rpc.NezhaHandlerSingleton.CreateStream(streamId, getUid(c), server.ID)
    // ... sends TaskTypeTerminalGRPC to agent ...
    return &model.CreateTerminalResponse{...}, nil
}

fm.go:28-67 — createFM:

func createFM(c *gin.Context) (*model.CreateFMResponse, error) {
    // ... validation ...
    rpc.NezhaHandlerSingleton.CreateStream(streamId, getUid(c), server.ID)
    // ... sends TaskTypeFM to agent ...
    return &model.CreateFMResponse{...}, nil
}

io_stream.go:55-67 — CreateStreamWithPurpose (inserts into unbounded map):

func (s *NezhaHandler) CreateStreamWithPurpose(...) {
    s.ioStreamMutex.Lock()
    defer s.ioStreamMutex.Unlock()
    s.ioStreams[streamId] = &ioStreamContext{
        creatorUserID:  creatorUserID,
        targetServerID: targetServerID,
        purpose:        purpose,
        userIoConnectCh:  make(chan struct{}),
        agentIoConnectCh: make(chan struct{}),
        revokedCh:        make(chan struct{}),
    }
}

io_stream.go:319-372 — StartStream spawns two goroutines per stream:

func (s *NezhaHandler) StartStream(streamId string, timeout time.Duration) error {
    // ...
    go func() {
        _, innerErr := io.CopyBuffer(userIo, agentIo, bp.buf)
        errCh <- innerErr
    }()
    go func() {
        _, innerErr := io.CopyBuffer(agentIo, userIo, bp.buf)
        errCh <- innerErr
    }()
    return <-errCh
}

The NezhaHandler.ioStreams map is initialized as a plain make(map[string]*ioStreamContext) in nezha.go:36 — no capacity limit, no eviction policy beyond explicit CloseStream / RevokeStreamsForServer.

The HasPermission check at terminal.go:41-43 and fm.go:43-45 controls access scope but does not limit creation volume. A user with ScopeServerExec (terminal) or ScopeServerRead+Write+Delete (file manager) can open unlimited streams.

2. PoC

A conceptual attack (no Docker needed):

# As an authenticated user with a valid JWT or PAT:
for i in {1..1000}; do
  curl -X POST "https://dashboard.example.com/api/v1/terminal" \
    -H "Authorization: Bearer $JWT" \
    -H "Content-Type: application/json" \
    -d '{"server_id": 1}' &
done
wait

Each request:

  • Creates a new stream entry in ioStreams
  • Sends a TaskTypeTerminalGRPC task to the agent
  • When the WebSocket attachment occurs (GET /ws/terminal/{id}), spawns 2 goroutines for I/O relay and allocates a 1 MB buffer per goroutine

The attack targets three resource domains:

  1. Dashboard memory/goroutines — each stream adds goroutines, channels, and buffers
  2. Agent resources — each stream spawns a PTY/shell process on the monitored server
  3. gRPC connection pool — concurrent IOStreams consume gRPC multiplexing capacity

The POST /file (createFM) endpoint provides an alternative path with the same unbounded behavior, using ScopeServerRead+Write+Delete instead of ScopeServerExec.

3. Impact

  • Denial of Service against the dashboard: memory exhaustion, goroutine starvation, or gRPC stream table overflow from rapid stream creation
  • Denial of Service against monitored agents: each terminal session spawns a PTY process on the agent — an attacker can crash or degrade all agents behind the dashboard
  • Operational cascade: if the dashboard OOMs, all agent monitoring and alerting is lost
  • PAT connection-registry bypass: rapid create-connect-disconnect cycles may evade cleanup tracking

The attack requires only authenticated access with standard scopes — no special privileges. Any team member with terminal access to a server can DoS the entire infrastructure.

4. Remediation

Implement layered rate limiting and concurrency control:

  1. Per-user stream cap in CreateStream — reject if the user already has N active streams (e.g., 10 per user):

    func (s *NezhaHandler) CreateStreamWithPurpose(...) {
        s.ioStreamMutex.Lock()
        defer s.ioStreamMutex.Unlock()
        count := 0
        for _, ctx := range s.ioStreams {
            if ctx.creatorUserID == creatorUserID { count++ }
        }
        if count >= maxStreamsPerUser { return error }
        // ... existing code ...
    }
    
  2. Per-server semaphore — limit concurrent streams to any single server (e.g., 20 per server)

  3. Rate limiter on createTerminal and createFM — mirror the existing MCP rate limiter (mcp_ratelimit.go) for legacy WebSocket endpoints

  4. Add a configurable MaxStreamsPerUser / MaxStreamsPerServer setting so operators can tune limits without code changes

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐹Gogithub.com/nezhahq/nezha≥ 1.0.0&&< 2.2.02.2.0go get github.com/nezhahq/nezha@v2.2.0

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/nezhahq/nezha, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update github.com/nezhahq/nezha to 2.2.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-53522 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2026-53522 can be triaged on real exposure rather than presence alone.

Tailored to CVE-2026-53522. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

## 1. Description The Nezha dashboard exposes two endpoints that create long-lived WebSocket streams to monitored agents: - `POST /api/v1/terminal` → `createTerminal()` (terminal.go:27-67) - `POST /api/v1/file` → `createFM()` (fm.go:28-67) Both call `rpc.NezhaHandlerSingleton.CreateStream(streamId, ...)` which inserts a new `ioStreamContext` into an **unbounded** `map[string]*ioStreamContext` (`s.ioStreams` in `io_stream.go:59-67`). There is **no per-user rate limit, no global semaphore, and no per-server connection cap**. Each stream allocates: 1. A `ioStreamContext` struct with several c
O3 Security · Impact-Aware SCA

Is CVE-2026-53522 in your dependencies?

O3 Security finds CVE-2026-53522 across Go dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

CVE-2026-53522: nezha DoS (Medium 6.5) | O3 Security