Vulnerabilities > Opensuse > Leap
| DATE | CVE | VULNERABILITY TITLE | RISK |
|---|---|---|---|
| 2020-09-30 | CVE-2020-26154 | Classic Buffer Overflow vulnerability in multiple products url.cpp in libproxy through 0.4.15 is prone to a buffer overflow when PAC is enabled, as demonstrated by a large PAC file that is delivered without a Content-length header. | 9.8 |
| 2020-09-27 | CVE-2020-26117 | Improper Certificate Validation vulnerability in multiple products In rfb/CSecurityTLS.cxx and rfb/CSecurityTLS.java in TigerVNC before 1.11.0, viewers mishandle TLS certificate exceptions. | 8.1 |
| 2020-09-27 | CVE-2020-26116 | Injection vulnerability in multiple products http.client in Python 3.x before 3.5.10, 3.6.x before 3.6.12, 3.7.x before 3.7.9, and 3.8.x before 3.8.5 allows CRLF injection if the attacker controls the HTTP request method, as demonstrated by inserting CR and LF control characters in the first argument of HTTPConnection.request. | 7.2 |
| 2020-09-25 | CVE-2020-15211 | Out-of-bounds Write vulnerability in multiple products In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. | 5.8 |
| 2020-09-25 | CVE-2020-15210 | Out-of-bounds Write vulnerability in multiple products In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. | 5.8 |
| 2020-09-25 | CVE-2020-15209 | NULL Pointer Dereference vulnerability in multiple products In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. | 4.3 |
| 2020-09-25 | CVE-2020-15208 | Out-of-bounds Write vulnerability in multiple products In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. | 7.5 |
| 2020-09-25 | CVE-2020-15207 | Out-of-bounds Write vulnerability in multiple products In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses `ResolveAxis` to convert negative values to positive indices. | 6.8 |
| 2020-09-25 | CVE-2020-15206 | Improper Input Validation vulnerability in multiple products In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. | 5.0 |
| 2020-09-25 | CVE-2020-15205 | Out-of-bounds Write vulnerability in multiple products In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. | 7.5 |