Security Bulletin: Multiple security vulnerabilities in Python affect IBM Robotic Process Automation

Vulnerability Details

CVEID:   CVE-2025-8747
DESCRIPTION:   A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attacker to achieve arbitrary code execution by convincing a user to load a specially crafted `.keras` model archive.
CWE:   CWE-502: Deserialization of Untrusted Data
CVSS Source:   NVD
CVSS Base score:   7.8
CVSS Vector:   (CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H)

CVEID:   CVE-2025-12060
DESCRIPTION:   The keras.utils.get_file API in Keras, when used with the extract=True option for tar archives, is vulnerable to a path traversal attack. The utility uses Python's tarfile.extractall function without the filter="data" feature. A remote attacker can craft a malicious tar archive containing special symlinks, which, when extracted, allows them to write arbitrary files to any location on the filesystem outside of the intended destination folder. This vulnerability is linked to the underlying Python tarfile weakness, identified as CVE-2025-4517. Note that upgrading Python to one of the versions that fix CVE-2025-4517 (e.g. Python 3.13.4) is not enough. One additionally needs to upgrade Keras to a version with the fix (Keras 3.12).
CWE:   CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
CVSS Source:   cve-coordination@google.com
CVSS Base score:   8.9
CVSS Vector:   (CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X)

CVEID:   CVE-2025-48924
DESCRIPTION:   Uncontrolled Recursion vulnerability in Apache Commons Lang. This issue affects Apache Commons Lang: Starting with commons-lang:commons-lang 2.0 to 2.6, and, from org.apache.commons:commons-lang3 3.0 before 3.18.0. The methods ClassUtils.getClass(...) can throw StackOverflowError on very long inputs. Because an Error is usually not handled by applications and libraries, a StackOverflowError could cause an application to stop. Users are recommended to upgrade to version 3.18.0, which fixes the issue.
CWE:   CWE-674: Uncontrolled Recursion
CVSS Source:   CISA ADP
CVSS Base score:   5.3
CVSS Vector:   (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L)

CVEID:   CVE-2025-50181
DESCRIPTION:   urllib3 is a user-friendly HTTP client library for Python. Prior to 2.5.0, it is possible to disable redirects for all requests by instantiating a PoolManager and specifying retries in a way that disable redirects. By default, requests and botocore users are not affected. An application attempting to mitigate SSRF or open redirect vulnerabilities by disabling redirects at the PoolManager level will remain vulnerable. This issue has been patched in version 2.5.0.
CWE:   CWE-601: URL Redirection to Untrusted Site ('Open Redirect')
CVSS Source:   NVD
CVSS Base score:   6.1
CVSS Vector:   (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)

CVEID:   CVE-2025-50182
DESCRIPTION:   urllib3 is a user-friendly HTTP client library for Python. Starting in version 2.2.0 and prior to 2.5.0, urllib3 does not control redirects in browsers and Node.js. urllib3 supports being used in a Pyodide runtime utilizing the JavaScript Fetch API or falling back on XMLHttpRequest. This means Python libraries can be used to make HTTP requests from a browser or Node.js. Additionally, urllib3 provides a mechanism to control redirects, but the retries and redirect parameters are ignored with Pyodide; the runtime itself determines redirect behavior. This issue has been patched in version 2.5.0.
CWE:   CWE-601: URL Redirection to Untrusted Site ('Open Redirect')
CVSS Source:   NVD
CVSS Base score:   6.1
CVSS Vector:   (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)

CVEID:   CVE-2024-52338
DESCRIPTION:   Deserialization of untrusted data in IPC and Parquet readers in the Apache Arrow R package versions 4.0.0 through 16.1.0 allows arbitrary code execution. An application is vulnerable if it reads Arrow IPC, Feather or Parquet data from untrusted sources (for example, user-supplied input files). This vulnerability only affects the arrow R package, not other Apache Arrow implementations or bindings unless those bindings are specifically used via the R package (for example, an R application that embeds a Python interpreter and uses PyArrow to read files from untrusted sources is still vulnerable if the arrow R package is an affected version). It is recommended that users of the arrow R package upgrade to 17.0.0 or later. Similarly, it is recommended that downstream libraries upgrade their dependency requirements to arrow 17.0.0 or later. If using an affected version of the package, untrusted data can read into a Table and its internal to_data_frame() method can be used as a workaround (e.g., read_parquet(..., as_data_frame = FALSE)$to_data_frame()). This issue affects the Apache Arrow R package: from 4.0.0 through 16.1.0. Users are recommended to upgrade to version 17.0.0, which fixes the issue.
CWE:   CWE-502: Deserialization of Untrusted Data
CVSS Source:   IBM X-Force
CVSS Base score:   8.8
CVSS Vector:   (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H)

CVEID:   CVE-2024-55459
DESCRIPTION:   An issue in keras 3.7.0 allows attackers to write arbitrary files to the user's machine via downloading a crafted tar file through the get_file function.
CWE:   CWE-494: Download of Code Without Integrity Check
CVSS Source:   CISA ADP
CVSS Base score:   6.5
CVSS Vector:   (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N)