Vulnerabilities > Reachable Assertion
| DATE | CVE | VULNERABILITY TITLE | RISK |
|---|---|---|---|
| 2022-03-22 | CVE-2022-0667 | Reachable Assertion vulnerability in multiple products When the vulnerability is triggered the BIND process will exit. | 7.5 |
| 2022-03-10 | CVE-2022-0865 | Reachable Assertion vulnerability in multiple products Reachable Assertion in tiffcp in libtiff 4.3.0 allows attackers to cause a denial-of-service via a crafted tiff file. | 6.5 |
| 2022-03-02 | CVE-2021-45861 | Reachable Assertion vulnerability in Tsmuxer Project Tsmuxer There is an Assertion `num <= INT_BIT' failed at BitStreamReader::skipBits in /bitStream.h:132 of tsMuxer git-c6a0277. | 5.5 |
| 2022-02-17 | CVE-2022-22901 | Reachable Assertion vulnerability in Jerryscript There is an Assertion in 'context_p->next_scanner_info_p->type == SCANNER_TYPE_FUNCTION' failed at parser_parse_function_arguments in /js/js-parser.c of JerryScript commit a6ab5e9. | 5.5 |
| 2022-02-11 | CVE-2021-45386 | Reachable Assertion vulnerability in Broadcom Tcpreplay 4.3.4 tcpreplay 4.3.4 has a Reachable Assertion in add_tree_ipv6() at tree.c | 5.5 |
| 2022-02-11 | CVE-2021-45387 | Reachable Assertion vulnerability in Broadcom Tcpreplay 4.3.4 tcpreplay 4.3.4 has a Reachable Assertion in add_tree_ipv4() at tree.c. | 5.5 |
| 2022-02-11 | CVE-2021-30326 | Reachable Assertion vulnerability in Qualcomm products Possible assertion due to improper size validation while processing the DownlinkPreemption IE in an RRC Reconfiguration/RRC Setup message in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Industrial IOT, Snapdragon Mobile | 7.5 |
| 2022-02-04 | CVE-2022-23564 | Reachable Assertion vulnerability in Google Tensorflow Tensorflow is an Open Source Machine Learning Framework. | 6.5 |
| 2022-02-04 | CVE-2022-23565 | Reachable Assertion vulnerability in Google Tensorflow Tensorflow is an Open Source Machine Learning Framework. | 6.5 |
| 2022-02-04 | CVE-2022-23570 | Reachable Assertion vulnerability in Google Tensorflow Tensorflow is an Open Source Machine Learning Framework. | 6.5 |