Security Vulnerabilities
Apache CXF reads a top-level WSDL through its hardened StaxUtils path, which disables XML DTDs and external entities. However, any <wsdl:import> or <xsd:import> referenced from that top-level WSDL is handed off to WSDL4J, which does not disable DOCTYPE declarations or external entities. As a result, the protections applied to the top-level document do not extend to imported documents, leaving imported WSDL/XSD content vulnerable to XML External Entity (XXE) attacks. Users are recommended to upgrade to versions 4.2.3 or 4.1.8 or 3.6.12, which fix this issue.
CVSS Score
7.5
Published
2026-08-06
Apache CXF's JMS transport deserializes the body of any inbound JMS ObjectMessage using native Java deserialization, with no type restrictions in place. Any attacker able to place a message on the service's JMS destination can submit a malicious serialized object, leading to denial of service or, if a suitable gadget class is on the classpath, remote code execution. The fix disables ObjectMessage deserialization by default, with a configuration switch to re-enable it if needed. Users are recommended to upgrade to versions 4.2.3 or 4.1.8 or 3.6.12, which fix this issue.
CVSS Score
9.8
Published
2026-08-06
Apache Polaris did not consistently validate storage locations supplied during table and view registration.
An authenticated principal with permission to register a table or view could, depending on the affected release and registration path, cause Polaris to use the catalog's storage credentials to read a caller-selected Iceberg metadata file before verifying that the file was within the catalog's allowed storage locations.
If the catalog's underlying credentials could read an object outside that boundary, this could disclose limited information from the object.
Polaris could also accept registration metadata located within an allowed location that contained references to storage locations outside the allowed boundary.
This second condition did not itself cause Polaris to read the referenced external locations during registration.
The demonstrated impact is limited to confidentiality.
No unauthorized data modification or availability impact has been demonstrated.
The server-side read requires a deployment using S3 credential vending and an object outside the allowed locations that the catalog's underlying storage credentials can read.
Exploitation requires an authenticated principal with table- or view-registration privileges.
CVSS Score
5.3
EPSS Score
0.003
Published
2026-08-06
IBM Langflow OSS contains a weak cryptographic key derivation vulnerability in the ensure_fernet_key() function.
CVSS Score
7.4
EPSS Score
0.002
Published
2026-08-05
IBM Langflow OSS 1.0.0 through 1.10.3 could allow an authenticated attacker to execute unintended code during Agentic Assistant validation due to improper handling of LLM‑generated components. The application executes model‑generated Python code in the backend during validation prior to user approval, which may allow an attacker to trigger side effects such as outbound network access, file system interaction, or data exfiltration with the privileges of the Langflow backend process.
CVSS Score
8.1
EPSS Score
0.002
Published
2026-08-05
IBM Langflow OSS 1.0.0 through 1.10.3 could allow an authenticated attacker to execute arbitrary code due to a cryptographic weakness in the custom component validation mechanism. When the optional hardening mode that restricts execution to trusted component templates is enabled, the application validates component code using a truncated SHA‑256 hash. Because the hash comparison relies on only a portion of the digest, an attacker can craft malicious component code that collides with a trusted template hash and bypasses validation. Successful exploitation allows the attacker to introduce and execute unauthorized Python code within the Langflow process, defeating the intended security control and potentially leading to full compromise of the affected instance.
CVSS Score
8.8
EPSS Score
0.002
Published
2026-08-05
IBM Langflow OSS 1.0.0 through 1.10.3 contain an authorization bypass vulnerability in the MemoryComponent that allows authenticated users to access chat history of other users via session_id collision. The MemoryComponent.retrieve_messages and store_message methods filter on session_id without validating flow_id or user_id ownership, enabling cross-user information disclosure through multiple authenticated API endpoints including /api/v1/run/*, /api/v1/responses, and /api/v2/workflow/*. This vulnerability only affects multi-user deployments with LANGFLOW_AUTO_LOGIN=False.
CVSS Score
7.1
EPSS Score
0.002
Published
2026-08-05
IBM Langflow OSS 1.0.0 through 1.10.3 could allow a remote attacker to inject arbitrary code on the system, due to the improper control of user input code.
CVSS Score
8.8
EPSS Score
0.004
Published
2026-08-05
IBM Langflow OSS 1.0.0 through 1.10.3, 1.0.0 through 1.10.3, 1.0.0 through 1.10.3, and 1.0.0 through 1.10.3 use Python's non-cryptographic random module for generating Fernet encryption keys from user secrets under 32 characters. The deterministic Mersenne Twister PRNG produces identical keys for identical seeds, allowing attackers to reproduce encryption keys and decrypt stored API keys and authentication tokens.
CVSS Score
7.4
EPSS Score
0.001
Published
2026-08-05
IBM Langflow OSS 1.0.0 through 1.10.3 does not properly validate the username field, allowing attackers to inject path traversal sequences and bypass containment checks. This enables multiple severe impacts, including arbitrary directory deletion, cross-tenant data destruction, and JWT signing key deletion leading to session invalidation.
CVSS Score
6.5
EPSS Score
0.003
Published
2026-08-05