| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| DataHub is an open-source metadata platform. When the DataHub frontend is configured to authenticate via SSO, it will leverage the pac4j library. The processing of the `id_token` is done in an unsafe manner which is not properly accounted for by the DataHub frontend. Specifically, if any of the id_token claims value start with the {#sb64} prefix, pac4j considers the value to be a serialized Java object and will deserialize it. This issue may lead to Remote Code Execution (RCE) in the worst case. Although a `RestrictedObjectInputStream` is in place, that puts some restriction on what classes can be deserialized, it still allows a broad range of java packages and potentially exploitable with different gadget chains. Users are advised to upgrade. There are no known workarounds. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-086. |
| TimescaleDB, an open-source time-series SQL database, has a privilege escalation vulnerability in versions 2.8.0 through 2.9.2. During installation, TimescaleDB creates a telemetry job that is runs as the installation user. The queries run as part of the telemetry data collection were not run with a locked down `search_path`, allowing malicious users to create functions that would be executed by the telemetry job, leading to privilege escalation. In order to be able to take advantage of this vulnerability, a user would need to be able to create objects in a database and then get a superuser to install TimescaleDB into their database. When TimescaleDB is installed as trusted extension, non-superusers can install the extension without help from a superuser.
Version 2.9.3 fixes this issue. As a mitigation, the `search_path` of the user running the telemetry job can be locked down to not include schemas writable by other users. The vulnerability is not exploitable on instances in Timescale Cloud and Managed Service for TimescaleDB due to additional security provisions in place on those platforms. |
| @fastify/multipart is a Fastify plugin to parse the multipart content-type. Prior to versions 7.4.1 and 6.0.1, @fastify/multipart may experience denial of service due to a number of situations in which an unlimited number of parts are accepted. This includes the multipart body parser accepting an unlimited number of file parts, the multipart body parser accepting an unlimited number of field parts, and the multipart body parser accepting an unlimited number of empty parts as field parts. This is fixed in v7.4.1 (for Fastify v4.x) and v6.0.1 (for Fastify v3.x). There are no known workarounds. |
| GSS-NTLMSSP is a mechglue plugin for the GSSAPI library that implements NTLM authentication. Prior to version 1.2.0, an incorrect free when decoding target information can trigger a denial of service. The error condition incorrectly assumes the `cb` and `sh` buffers contain a copy of the data that needs to be freed. However, that is not the case. This vulnerability can be triggered via the main `gss_accept_sec_context` entry point. This will likely trigger an assertion failure in `free`, causing a denial-of-service. This issue is fixed in version 1.2.0. |
| GSS-NTLMSSP is a mechglue plugin for the GSSAPI library that implements NTLM authentication. Prior to version 1.2.0, a memory leak can be triggered when parsing usernames which can trigger a denial-of-service. The domain portion of a username may be overridden causing an allocated memory area the size of the domain name to be leaked. An attacker can leak memory via the main `gss_accept_sec_context` entry point, potentially causing a denial-of-service. This issue is fixed in version 1.2.0.
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| GSS-NTLMSSP, a mechglue plugin for the GSSAPI library that implements NTLM authentication, has an out-of-bounds read when decoding target information prior to version 1.2.0. The length of the `av_pair` is not checked properly for two of the elements which can trigger an out-of-bound read. The out-of-bounds read can be triggered via the main `gss_accept_sec_context` entry point and could cause a denial-of-service if the memory is unmapped. The issue is fixed in version 1.2.0. |
| Werkzeug is a comprehensive WSGI web application library. Prior to version 2.2.3, Werkzeug's multipart form data parser will parse an unlimited number of parts, including file parts. Parts can be a small amount of bytes, but each requires CPU time to parse and may use more memory as Python data. If a request can be made to an endpoint that accesses `request.data`, `request.form`, `request.files`, or `request.get_data(parse_form_data=False)`, it can cause unexpectedly high resource usage. This allows an attacker to cause a denial of service by sending crafted multipart data to an endpoint that will parse it. The amount of CPU time required can block worker processes from handling legitimate requests. The amount of RAM required can trigger an out of memory kill of the process. Unlimited file parts can use up memory and file handles. If many concurrent requests are sent continuously, this can exhaust or kill all available workers. Version 2.2.3 contains a patch for this issue. |
| Git for Windows is the Windows port of the revision control system Git. Prior to Git for Windows version 2.39.2, when `gitk` is run on Windows, it potentially runs executables from the current directory inadvertently, which can be exploited with some social engineering to trick users into running untrusted code. A patch is available in version 2.39.2. As a workaround, avoid using `gitk` (or Git GUI's "Visualize History" functionality) in clones of untrusted repositories.
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| Git for Windows is the Windows port of the revision control system Git. Prior to Git for Windows version 2.39.2, by carefully crafting DLL and putting into a subdirectory of a specific name living next to the Git for Windows installer, Windows can be tricked into side-loading said DLL. This potentially allows users with local write access to place malicious payloads in a location where automated upgrades might run the Git for Windows installer with elevation. Version 2.39.2 contains a patch for this issue. Some workarounds are available. Never leave untrusted files in the Downloads folder or its sub-folders before executing the Git for Windows installer, or move the installer into a different directory before executing it. |
| Kiwi TCMS, an open source test management system, does not impose rate limits in versions prior to 12.0. This makes it easier to attempt brute-force attacks against the login page. Users should upgrade to v12.0 or later to receive a patch. As a workaround, users may install and configure a rate-limiting proxy in front of Kiwi TCMS. |
| Kiwi TCMS, an open source test management system, does not impose rate limits in versions prior to 12.0. This makes it easier to attempt denial-of-service attacks against the Password reset page. An attacker could potentially send a large number of emails if they know the email addresses of users in Kiwi TCMS. Additionally that may strain SMTP resources. Users should upgrade to v12.0 or later to receive a patch. As potential workarounds, users may install and configure a rate-limiting proxy in front of Kiwi TCMS and/or configure rate limits on their email server when possible. |
| Starlite is an Asynchronous Server Gateway Interface (ASGI) framework. Prior to version 1.5.2, the request body parsing in `starlite` allows a potentially unauthenticated attacker to consume a large amount of CPU time and RAM. The multipart body parser processes an unlimited number of file parts and an unlimited number of field parts. This is a remote, potentially unauthenticated Denial of Service vulnerability. This vulnerability affects applications with a request handler that accepts a `Body(media_type=RequestEncodingType.MULTI_PART)`. The large amount of CPU time required for processing requests can block all available worker processes and significantly delay or slow down the processing of legitimate user requests. The large amount of RAM accumulated while processing requests can lead to Out-Of-Memory kills. Complete DoS is achievable by sending many concurrent multipart requests in a loop. Version 1.51.2 contains a patch for this issue.
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| Undici is an HTTP/1.1 client for Node.js. Prior to version 5.19.1, the `Headers.set()` and `Headers.append()` methods are vulnerable to Regular Expression Denial of Service (ReDoS) attacks when untrusted values are passed into the functions. This is due to the inefficient regular expression used to normalize the values in the `headerValueNormalize()` utility function. This vulnerability was patched in v5.19.1. No known workarounds are available. |
| node-jose is a JavaScript implementation of the JSON Object Signing and Encryption (JOSE) for web browsers and node.js-based servers. Prior to version 2.2.0, when using the non-default "fallback" crypto back-end, ECC operations in `node-jose` can trigger a Denial-of-Service (DoS) condition, due to a possible infinite loop in an internal calculation. For some ECC operations, this condition is triggered randomly; for others, it can be triggered by malicious input. The issue has been patched in version 2.2.0. Since this issue is only present in the "fallback" crypto implementation, it can be avoided by ensuring that either WebCrypto or the Node `crypto` module is available in the JS environment where `node-jose` is being run. |
| HyperKit is a toolkit for embedding hypervisor capabilities in an application. In versions 0.20210107 and prior of HyperKit, the implementation of `qnotify` at `pci_vtrnd_notify` fails to check the return value of `vq_getchain`. This leads to `struct iovec iov;` being uninitialized and used to read memory in `len = (int) read(sc->vrsc_fd, iov.iov_base, iov.iov_len);` when an attacker is able to make `vq_getchain` fail. This issue may lead to a guest crashing the host causing a denial of service and, under certain circumstance, memory corruption. This issue is fixed in commit 41272a980197917df8e58ff90642d14dec8fe948. |
| HyperKit is a toolkit for embedding hypervisor capabilities in an application. In versions 0.20210107, function `pci_vtsock_proc_tx` in `virtio-sock` can lead to to uninitialized memory use. In this situation, there is a check for the return value to be less or equal to `VTSOCK_MAXSEGS`, but that check is not sufficient because the function can return `-1` if it finds an error it cannot recover from. Moreover, the negative return value will be used by `iovec_pull` in a while condition that can further lead to more corruption because the function is not designed to handle a negative `iov_len`. This issue may lead to a guest crashing the host causing a denial of service and, under certain circumstance, memory corruption. This issue is fixed in commit af5eba2360a7351c08dfd9767d9be863a50ebaba. |
| HyperKit is a toolkit for embedding hypervisor capabilities in an application. In versions 0.20210107 and prior, a malicious guest can trigger a vulnerability in the host by abusing the disk driver that may lead to the disclosure of the host memory into the virtualized guest. This issue is fixed in commit cf60095a4d8c3cb2e182a14415467afd356e982f. |
| Octobox is software for managing GitHub notifications. Prior to pull request (PR) 2807, a user of the system can provide a specifically crafted search query string that will trigger a ReDoS vulnerability. This issue is fixed in PR 2807. |
| Apollo is a configuration management system. Prior to version 2.1.0, there are potential security issues if users expose apollo-configservice to the internet, which is not recommended. This is because there is no authentication feature enabled for the built-in eureka service. Malicious hackers may access eureka directly to mock apollo-configservice and apollo-adminservice. Login authentication for eureka was added in version 2.1.0. As a workaround, avoid exposing apollo-configservice to the internet. |
| Nautobot is a Network Source of Truth and Network Automation Platform. All users of Nautobot versions earlier than 1.5.7 are impacted by a remote code execution vulnerability. Nautobot did not properly sandbox Jinja2 template rendering. In Nautobot 1.5.7 has enabled sandboxed environments for the Jinja2 template engine used internally for template rendering for the following objects: `extras.ComputedField`, `extras.CustomLink`, `extras.ExportTemplate`, `extras.Secret`, `extras.Webhook`. While no active exploits of this vulnerability are known this change has been made as a preventative measure to protect against any potential remote code execution attacks utilizing maliciously crafted template code. This change forces the Jinja2 template engine to use a `SandboxedEnvironment` on all new installations of Nautobot. This addresses any potential unsafe code execution everywhere the helper function `nautobot.utilities.utils.render_jinja2` is called. Additionally, the documentation that had previously suggesting the direct use of `jinja2.Template` has been revised to suggest `render_jinja2`. Users are advised to upgrade to Nautobot 1.5.7 or newer. For users that are unable to upgrade to the latest release of Nautobot, you may add the following setting to your `nautobot_config.py` to apply the sandbox environment enforcement: `TEMPLATES[1]["OPTIONS"]["environment"] = "jinja2.sandbox.SandboxedEnvironment"` After applying this change, you must restart all Nautobot services, including any Celery worker processes. **Note:** *Nautobot specifies two template engines by default, the first being “django” for the Django built-in template engine, and the second being “jinja” for the Jinja2 template engine. This recommended setting will update the second item in the list of template engines, which is the Jinja2 engine.* For users that are unable to immediately update their configuration such as if a Nautobot service restart is too disruptive to operations, access to provide custom Jinja2 template values may be mitigated using permissions to restrict “change” (write) actions to the affected object types listed in the first section. **Note:** *This solution is intended to be stopgap until you can successfully update your `nautobot_config.py` or upgrade your Nautobot instance to apply the sandboxed environment enforcement.* |
