Veille CVE

Jeudi 10 septembre 2026

7 CVE

  1. CVE-2026-48804 7.5 Élevée

    miguelgrinberg python-socketio

    python-socketio is a Python implementation of the Socket.IO realtime client and server. The python-socketio server stores binary `EVENT` and `ACK` messages in memory while it waits to receive their binary attachments. Once all the attachments are received, these messages are then processed. Prior to version 5.16.4, an attacker can submit a binary message and intentionally omit sending one or more of its attachments to cause the message along with the partial list of received attachments to stay in memory for a long time. Version 5.16.4 takes the following measures to address this issue: Binary packets are only accepted from authenticated clients and, when a client disconnects, the server checks if there is a partial binary message being held for the client and deletes it.

  2. CVE-2026-86600 8.2 Élevée

    Snowflake Connector for Python · Snowflake Go Driver · Snowflake JDBC Driver · Snowflake JDBC Driver (FIPS)

    In affected Snowflake drivers, WORKLOAD_IDENTITY authentication requests a cloud workload-identity token and attaches it to the login request without verifying that the configured host is a Snowflake endpoint. An attacker who can modify the connection configuration can cause the driver to mint a fresh attestation and send it to a host they control. The captured token can be replayed to Snowflake for its remaining lifetime in accounts where that workload identity is already registered. On Azure, the token audience is also taken from connection configuration. Combined with an attacker-controlled host, the driver can request a Managed Identity access token scoped to a non-Snowflake Azure resource and deliver it to the attacker. That path is the only case in which impact extends beyond Snowflake; it is bounded by the token lifetime and the managed identity’s permissions. Successful exploitation requires WORKLOAD_IDENTITY authentication on a workload that already has an ambient cloud identity. Patched driver versions restrict this authenticator to recognized Snowflake hosts. Users must manually upgrade.

  3. CVE-2026-86597 6.5 Moyenne

    Snowflake Connector for Python · Snowflake Go Driver · Snowflake JDBC Driver · Snowflake JDBC Driver (FIPS)

    Insertion of sensitive information into log files in the Snowflake Python, Go, JDBC, Node.js, PHP PDO, and ODBC drivers allowed authentication tokens, query-result encryption keys, pre-signed cloud-storage URLs, and SAML assertions to be written to diagnostic logs in circumstances where the available log redaction did not cover all affected log paths and data types. An attacker with read access to the log destination, whether the local filesystem, a log aggregation service, or a CI/CD artifact store, could obtain credentials and decryption keys that, if still valid at the time of access, could be used to authenticate to the corresponding Snowflake account or cloud-storage object. Successful exploitation requires read access to the log destination, and impact is bounded by credential lifetime and object scope. The fix is available in Snowflake Connector for Python v4.7.3, Snowflake Go Driver v2.2.0, Snowflake JDBC Driver v4.3.4 (including the snowflake-jdbc-fips and snowflake-jdbc-thin), Snowflake Node.js Driver v3.3.0, Snowflake PHP PDO Driver v4.2.0, and Snowflake ODBC Driver v3.20.0. Users must manually upgrade and should securely delete previously generated diagnostic logs containing sensitive information where retention is not required.

  4. CVE-2026-85525 7.4 Élevée

    Snowflake Connector for Python · Snowflake Go Driver · Snowflake JDBC Driver · Snowflake JDBC Driver (FIPS)

    Improper OCSP response validation in the Snowflake Python, Go, JDBC, and Node.js drivers allowed a revoked TLS certificate to be accepted as valid, because OCSP responses were not reliably bound to the certificate being validated and definitive verification failures were treated as transient. A man-in-the-middle attacker holding a revoked certificate and its private key for a Snowflake or stage hostname could cause the driver to establish a TLS session to the attacker-controlled endpoint anyway, allowing the attacker to read and modify data transmitted within that connection. Successful exploitation requires that on-path position and the corresponding private key, and impact is limited to data carried within the intercepted connection. The fix is available in Snowflake Connector for Python v4.7.3, Snowflake Go Driver v2.2.0, Snowflake JDBC Driver v4.3.4 (including the snowflake-jdbc-fips and snowflake-jdbc-thin), and Snowflake Node.js Driver v3.3.0. Users must manually upgrade.

  5. CVE-2026-85694 8.1 Élevée

    lavague-ai LaVague

    LaVague 0.2.35 contains a remote code execution vulnerability in PythonFromMarkdownExtractor.extract_as_object that evaluates untrusted language model output derived from web page content. Attackers can inject malicious Python code through web pages using indirect prompt injection to execute arbitrary code on the operator's host without review.

  6. CVE-2026-48526 7.4 Élevée

    jpadilla pyjwt · Red Hat Ansible Automation Platform 2.5 for RHEL 8 · Red Hat Ansible Automation Platform 2.5 for RHEL 9 · Red Hat Ansible Automation Platform 2.6 for RHEL 9

    PyJWT is a JSON Web Token implementation in Python. Prior to 2.13.0, when the verifier is decoding JSON Web Tokens, while supporting both asymmetric and HMAC algorithms, the library does not validate use of JSON Web Keys in HMAC algorithm, allowing attacker to use the issuer public key as the secret key for HMAC algorithm. This vulnerability is fixed in 2.13.0.

  7. CVE-2026-44432 7.5 Élevée

    urllib3 · Red Hat Ansible Automation Platform 2.5 for RHEL 8 · Red Hat Ansible Automation Platform 2.5 for RHEL 9 · Red Hat Ansible Automation Platform 2.6 for RHEL 9

    urllib3 is an HTTP client library for Python. From 2.6.0 to before 2.7.0, urllib3 could decompress the whole response instead of the requested portion (1) during the second HTTPResponse.read(amt=N) call when the response was decompressed using the official Brotli library or (2) when HTTPResponse.drain_conn() was called after the response had been read and decompressed partially (compression algorithm did not matter here). These issues could cause urllib3 to fully decode a small amount of highly compressed data in a single operation. This could result in excessive resource consumption (high CPU usage and massive memory allocation for the decompressed data) on the client side. This vulnerability is fixed in 2.7.0.