CVE-2026-62188

OpenClaw @openclaw/feishu versions 2026.6.6 and earlier contain an incorrect authorization vulnerability in which the Feishu permission tools could ignore per-account disablement settings. When the affected feature is enabled and reachable, a lower-trust caller or configured input path could...

CVE-2026-55772

CVE-2026-55772 affects CedarJava prior to versions 4.9 (and older 2.3.6, 3.4.1) where improper input handling can cause Record-to-Entity type confusion across the Java–Rust FFI boundary. CedarJava serializes authorization requests to the Rust cedar-policy evaluator as JSON, and the CedarMap miss-...

Exploit for Improper Input Validation in Pyyaml

Seal Security — Python pip Example A minimal, intentionally...

EUVD-2024-24347

GeoNode: Stored XSS to full account takeover...

PYSEC-2026-3389 tornado AsyncHTTPClient accumulates decompressed chunks without size limit (gzip bomb)

Tornado's gzip decompression routines work in limited-size chunks, but have no overall limit for the total size of decompressed chunks that they will accumulate There has always been a limit for the total compressed size. This allows a malicious server to consume effectively unlimited amounts of...

PYSEC-2026-3010 pypdf: Inefficient decoding of FlateDecode PNG predictor streams

Impact An attacker who uses this vulnerability can craft a PDF which leads to long runtimes. This requires accessing a stream which uses the /FlateDecode filter with a PNG predictor. Patches This has been fixed in pypdf==6.12.2. Workarounds If you cannot upgrade yet, consider applying the changes...

PYSEC-2026-2868 pgAdmin 4 File Manager has symbolic-link path traversal

Symbolic-link path traversal CWE-61, CWE-22 in pgAdmin 4 File Manager. checkaccesspermission used os.path.abspath, which resolves '..' but does not resolve symbolic links, while the subsequent kernel write follows symlinks. An authenticated user could plant a symbolic link inside their own storag...

PYSEC-2026-2871 pgAdmin 4 contains local file inclusion (LFI) and server-side request forgery (SSRF) vulnerabilities

Local file inclusion LFI and server-side request forgery SSRF vulnerabilities in pgAdmin 4 LLM API configuration endpoints. User-supplied apikeyfile and apiurl preferences were passed to the LLM provider clients without validation. An authenticated user could read arbitrary server-side files by...

PYSEC-2026-2892 PPTAgent: Arbitrary Code Execution via Python eval() of LLM-Generated Code with Builtins in Scope

Summary This vulnerability has been fixed in https://github.com/icip-cas/PPTAgent/commit/418491a9a1c02d9d93194b5973bb58df35cf9d00. CodeExecutor.executeactions pptagent/apis.py:126-205 processes LLM-generated slide editing actions using Python's eval: python pptagent/apis.py:184-186 partialfunc =...

PYSEC-2026-2340 ajenti.plugin.core has race conditions in 2FA

Impact If the 2FA was activated, it was possible during a short moment after the authentication of an user to bypass its authentication. Patches This is fixed in the version 0.112. Users should upgrade to this version as soon as possible...

CVE-2026-58065 Apache Airflow Git provider: Git provider hook defaults to StrictHostKeyChecking=no, disabling SSH host-key verification

The Apache Airflow Git provider runs its git-over-SSH operations with StrictHostKeyChecking=no by default, disabling SSH host-key verification. An attacker who can intercept the network path between an Airflow worker and the Git server can impersonate the server man-in-the-middle, capturing the S...

PYSEC-2026-2567 Langflow: Authenticated Users Can Read, Modify, and Delete Any Flow via Missing Ownership Check

Vulnerability IDOR in GET/PATCH/DELETE /api/v1/flow/flowid The readflow helper in src/backend/base/langflow/api/v1/flows.py branched on the AUTOLOGIN setting to decide whether to filter by userid. When AUTOLOGIN was False i.e., authentication was enabled, neither branch enforced an ownership chec...

PYSEC-2026-3293 TensorFlow vulnerable to integer overflow in EditDistance

Impact TFversion 2.11.0 //tensorflow/core/ops/arrayops.cc:1067 const Tensor hypothesisshapet = c-inputtensor2; std::vector dimshypothesisshapet-NumElements - 1; for int i = 0; i MakeDimstd::maxhvaluesi, tvaluesi; if hypothesisshapet is empty, hypothesisshapet-NumElements - 1 will be integer...

PYSEC-2026-3166 TensorFlow has double free in Fractional(Max/Avg)Pool

Impact nnops.fractionalavgpoolv2 and nnops.fractionalmaxpoolv2 require the first and fourth elements of their parameter poolingratio to be equal to 1.0, as pooling on batch and channel dimensions is not supported. python import tensorflow as tf import os import numpy as np from...

FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess

ImpactAn input poolingratio that is smaller than 1 will trigger a heap OOB in tf.rawops.FractionalMaxPool and tf.rawops.FractionalAvgPool. PatchesWe have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48.The fix will be included in TensorFlow 2.11.0. We will also cherry...

PYSEC-2026-3117 Segfault in `tf.raw_ops.TensorListConcat`

Impact If tf.rawops.TensorListConcat is given elementshape=, it results segmentation fault which can be used to trigger a denial of service attack. python import tensorflow as tf tf.rawops.TensorListConcat inputhandle=tf.data.experimental.tovarianttf.data.Dataset.fromtensorslices1, 2, 3,...

PYSEC-2026-3251 Out of bounds segmentation fault due to unequal op inputs in Tensorflow

Impact tf.rawops.DynamicStitch specifies input sizes when it is registered. cpp REGISTEROP"DynamicStitch" .Input"indices: N int32" .Input"data: N T" .Output"merged: T" .Attr"N : int = 1" .Attr"T : type" .SetShapeFnDynamicStitchShapeFunction; When it receives a differing number of inputs, such as...

PYSEC-2026-3343 TensorFlow vulnerable to `CHECK` fail in `MaxPool`

Impact When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np input = np.ones1, 1, 1, 1 ksize = 1, 1, 2, ...

PYSEC-2026-3227 TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`

Impact The implementation of Conv2DBackpropInput requires inputsizes to be 4-dimensional. Otherwise, it gives a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf strides = 1, 1, 1, 1 padding = "SAME" usecudnnongpu = True explicitpaddings =...

PYSEC-2026-3361 TensorFlow vulnerable to floating point exception in `Conv2D`

Impact If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np with tf.device"CPU": also can...