Vulnerabilities > Opensuse > Leap > 15.2
| DATE | CVE | VULNERABILITY TITLE | RISK |
|---|---|---|---|
| 2020-10-01 | CVE-2020-15673 | Use After Free vulnerability in multiple products Mozilla developers reported memory safety bugs present in Firefox 80 and Firefox ESR 78.2. | 8.8 |
| 2020-09-30 | CVE-2020-14374 | A flaw was found in dpdk in versions before 18.11.10 and before 19.11.5. | 8.8 |
| 2020-09-30 | CVE-2020-14378 | Integer Underflow (Wrap or Wraparound) vulnerability in multiple products An integer underflow in dpdk versions before 18.11.10 and before 19.11.5 in the `move_desc` function can lead to large amounts of CPU cycles being eaten up in a long running loop. | 3.3 |
| 2020-09-30 | CVE-2020-14377 | A flaw was found in dpdk in versions before 18.11.10 and before 19.11.5. | 7.1 |
| 2020-09-30 | CVE-2020-14376 | Classic Buffer Overflow vulnerability in multiple products A flaw was found in dpdk in versions before 18.11.10 and before 19.11.5. | 7.8 |
| 2020-09-30 | CVE-2020-14375 | Time-of-check Time-of-use (TOCTOU) Race Condition vulnerability in multiple products A flaw was found in dpdk in versions before 18.11.10 and before 19.11.5. | 7.8 |
| 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 |
| 2020-09-25 | CVE-2020-15211 | 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. | 4.8 |
| 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. | 6.5 |