| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.1.4 and 11.5.5 is vulnerable to a denial of service as the server terminates abnormally when executing a specially crafted SELECT statement. IBM X-Force ID: 200658. |
| IBM Security Identity Manager 7.0.2 contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data. IBM X-Force ID: 200252. |
| IBM Security Verify (IBM Security Verify Privilege Vault 10.9.66) is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. |
| IBM Security Verify (IBM Security Verify Privilege Vault 10.9.66) is vulnerable to link injection. By persuading a victim to click on a specially-crafted URL link, a remote attacker could exploit this vulnerability to conduct various attacks against the vulnerable system, including cross-site scripting, cache poisoning or session hijacking |
| IBM Jazz Team Server products are vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 199482. |
| IBM Spectrum Protect Client 8.1.0.0-8 through 1.11.0 is vulnerable to a stack-based buffer overflow, caused by improper bounds checking when processing the current locale settings. A local attacker could overflow a buffer and execute arbitrary code on the system with elevated privileges or cause the application to crash. IBM X-Force ID: 199479 |
| IBM Jazz Foundation and IBM Engineering products are vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 199408. |
| IBM Jazz Foundation and IBM Engineering products are vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 199406. |
| IBM Spectrum Scale 5.0.0 through 5.0.5.6 and 5.1.0 through 5.1.0.2 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 199400. |
| IBM Security Verify Access 20.07 is vulnerable to a stack based buffer overflow, caused by improper bounds checking which could allow a local attacker to execute arbitrary code on the system with elevated privileges. |
| CourseMS (aka Course Registration Management System) 2.1 is affected by cross-site scripting (XSS). When an attacker with access to an Admin account creates a Job Title in the Site area (aka the admin/add_jobs.php name parameter), they can insert an XSS payload. This payload will execute whenever anyone visits the registration page. |
| The Data::Validate::IP module through 0.29 for Perl does not properly consider extraneous zero characters at the beginning of an IP address string, which (in some situations) allows attackers to bypass access control that is based on IP addresses. |
| Softing AG OPC Toolbox through 4.10.1.13035 allows /en/diag_values.html Stored XSS via the ITEMLISTVALUES##ITEMID parameter, resulting in JavaScript payload injection into the trace file. This payload will then be triggered every time an authenticated user browses the page containing it. |
| PRTG Network Monitor before 21.3.69.1333 allows stored XSS via an unsanitized string imported from a User Object in a connected Active Directory instance. |
| In FreeBSD 13.0-STABLE before n246938-0729ba2f49c9, 12.2-STABLE before r370383, 11.4-STABLE before r370381, 13.0-RELEASE before p4, 12.2-RELEASE before p10, and 11.4-RELEASE before p13, the ggatec daemon does not validate the size of a response before writing it to a fixed-sized buffer allowing a malicious attacker in a privileged network position to overwrite the stack of ggatec and potentially execute arbitrary code. |
| Adminer is open-source database management software. A cross-site scripting vulnerability in Adminer versions 4.6.1 to 4.8.0 affects users of MySQL, MariaDB, PgSQL and SQLite. XSS is in most cases prevented by strict CSP in all modern browsers. The only exception is when Adminer is using a `pdo_` extension to communicate with the database (it is used if the native extensions are not enabled). In browsers without CSP, Adminer versions 4.6.1 to 4.8.0 are affected. The vulnerability is patched in version 4.8.1. As workarounds, one can use a browser supporting strict CSP or enable the native PHP extensions (e.g. `mysqli`) or disable displaying PHP errors (`display_errors`). |
| TensorFlow is an end-to-end open source platform for machine learning. Passing invalid arguments (e.g., discovered via fuzzing) to `tf.raw_ops.SparseCountSparseOutput` results in segfault. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. |
| TensorFlow is an end-to-end open source platform for machine learning. Passing a complex argument to `tf.transpose` at the same time as passing `conjugate=True` argument results in a crash. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via `CHECK`-fail in `tf.strings.substr` with invalid arguments. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.io.decode_raw` produces incorrect results and crashes the Python interpreter when combining `fixed_length` and wider datatypes. The implementation of the padded version(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc) is buggy due to a confusion about pointer arithmetic rules. First, the code computes(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L61) the width of each output element by dividing the `fixed_length` value to the size of the type argument. The `fixed_length` argument is also used to determine the size needed for the output tensor(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L63-L79). This is followed by reencoding code(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L85-L94). The erroneous code is the last line above: it is moving the `out_data` pointer by `fixed_length * sizeof(T)` bytes whereas it only copied at most `fixed_length` bytes from the input. This results in parts of the input not being decoded into the output. Furthermore, because the pointer advance is far wider than desired, this quickly leads to writing to outside the bounds of the backing data. This OOB write leads to interpreter crash in the reproducer mentioned here, but more severe attacks can be mounted too, given that this gadget allows writing to periodically placed locations in memory. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. |
