CVE-2026-75062
Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection') in the default lf.query Python protocol in Google lan
CVSS
—
No CVSS
EPSS
0.2%
p14
KEV
—
Exploit Today
4
0-100
Published: Aug 26, 2026 · Last modified: Aug 31, 2026 · CWE-95 · CWE-1188
0.2%EPSS · 30 days0.2%
2026-08-272026-08-31
Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection') in the default lf.query Python protocol in Google langfun versions prior to 0.1.2 allows remote unauthenticated attackers to execute arbitrary Python code in the context of the host application via crafted prompt inputs that cause the model to generate executable Python expressions evaluated without a sandbox.
CVECVSSEPSSKEVRExploitTitleMod.
CVE-2026-192959.9 CRI59.6%
——18IBM Langflow OSS 1.0.0 through 1.11.1 allows an authenticated attacker to execute arbitrary operating system commands in the server process by saving a flow with a crafted type field value and triggering a build of a wrapper flow that references it. This allowed privilege escalation from "authenticated flow user" to arbitrary OS-level command execution under the server process identity, bypassing the LANGFLOW_ALLOW_CUSTOM_COMPONENTS=false policy control.18hCVE-2026-545699.8 CRI53.3%
——16SENAITE.CORE is the core framework for the SENAITE laboratory information management system. From 2.0.0 to 2.6.0, the SENAITE.CORE JSON API permits unauthenticated remote code execution through a two-request chain involving missing authorization and unsafe evaluation. The state-changing routes in src/bika/lims/jsonapi/update.py, including update, update_many, remove, doActionFor, doActionFor_many, and getusers, do not enforce the senaite.core: Access JSON API permission before resolving attacker-selected objects. In src/bika/lims/jsonapi/init.py, set_fields_from_request passes raw request values for RecordsField and RecordField instances to eval() before field mutator write-permission checks execute. An anonymous attacker can discover the bika_setup object identifier through @@uuid, send a value such as RejectionReasons to /@@API/update, and execute arbitrary Python in the Zope worker before a later mutation failure rolls back ZODB changes. The same unsafe evaluation pattern is present in src/senaite/core/browser/fields/record.py and src/senaite/core/browser/fields/records.py. Successful exploitation can expose or modify laboratory data, files, and accounts and can disrupt the service.6dCVE-2026-779159.8 CRI33.6%
——10rConfig Core 8.0.0 before 8.2.10 contains an authentication bypass vulnerability that allows unauthenticated attackers to self-register accounts with full Administrator privileges due to a duplicate bare Auth::routes() call in routes/web.php that re-enables the POST /register route after it was explicitly disabled. Attackers can register a new account that is immediately authenticated with Admin-level access because the registration controller does not assign a role and the users.role column defaults to Admin, enabling access to stored device credentials, user data, and API token issuance.3dCVE-2026-781367.8 HIG8.5%
——3chirpmyradio CHIRP before 39178db allows eval injection via crafted CSV data. This occurs in _clean_tmode in drivers/kenwood_itm.py.8dCVE-2026-623887.5 HIG38.0%
——11NLTK versions before 3.10.0 default to ENFORCE=False in pathsec.py, causing all security validation functions to emit warnings instead of raising exceptions. Attackers can bypass path traversal and pickle deserialization protections by exploiting the disabled security controls that are only active when manually enabled.5dCVE-2026-6153910.0 CRI49.0%
——15Xinference is an inference API for running open-source, speech, and multimodal models. In 2.5.0 and earlier, Xinference passes attacker-influenced Llama3 tool-call output to eval() in xinference/model/llm/tool_parsers/llama3_tool_parser.py and xinference/model/llm/utils.py. Requests to /v1/chat/completions with a tools field flow through xinference/api/restful_api.py, xinference/model/llm/transformers/core.py, handle_chat_result_non_streaming(), and _post_process_completion() before extract_tool_calls() or _eval_llama3_chat_arguments() evaluates the model-generated Python expression. An unauthenticated remote attacker can influence that output through a crafted prompt and execute commands in the Xinference server process context. This issue is fixed in version 2.7.0.8d