grafana-9.2.10-7.el9.ML.1

Grafana is an open source, feature rich metrics dashboard and graph editor for Graphite, InfluxDB & OpenTSDB.

Security Fix(es):

* grafana: persistent xss in grafana core plugins (CVE-2022-23552)
* grafana: plugin signature bypass (CVE-2022-31123)
* grafana: data source and plugin proxy endpoints leaking authentication tokens to some destination plugins (CVE-2022-31130)
* grafana: Data source and plugin proxy endpoints could leak the authentication cookie to some destination plugins (CVE-2022-39201)
* grafana: email addresses and usernames cannot be trusted (CVE-2022-39306)
* grafana: User enumeration via forget password (CVE-2022-39307)
* grafana: Spoofing of the originalUrl parameter of snapshots (CVE-2022-39324)
* golang: net/[http:](http:) excessive memory growth in a Go server accepting HTTP/2 requests (CVE-2022-41717)
* golang: net/http, net/textproto: denial of service from excessive memory allocation (CVE-2023-24534)

For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.

CVE-2022-23552
Grafana is an open-source platform for monitoring and observability. Starting with the 8.1 branch and prior to versions 8.5.16, 9.2.10, and 9.3.4, Grafana had a stored XSS vulnerability affecting the core plugin GeoMap. The stored XSS vulnerability was possible because SVG files weren't properly sanitized and allowed arbitrary JavaScript to be executed in the context of the currently authorized user of the Grafana instance. An attacker needs to have the Editor role in order to change a panel to include either an external URL to a SVG-file containing JavaScript, or use the `data:` scheme to load an inline SVG-file containing JavaScript. This means that vertical privilege escalation is possible, where a user with Editor role can change to a known password for a user having Admin role if the user with Admin role executes malicious JavaScript viewing a dashboard. Users may upgrade to version 8.5.16, 9.2.10, or 9.3.4 to receive a fix.
CVE-2022-31123
Grafana is an open source observability and data visualization platform. Versions prior to 9.1.8 and 8.5.14 are vulnerable to a bypass in the plugin signature verification. An attacker can convince a server admin to download and successfully run a malicious plugin even though unsigned plugins are not allowed. Versions 9.1.8 and 8.5.14 contain a patch for this issue. As a workaround, do not install plugins downloaded from untrusted sources.
CVE-2022-31130
Grafana is an open source observability and data visualization platform. Versions of Grafana for endpoints prior to 9.1.8 and 8.5.14 could leak authentication tokens to some destination plugins under some conditions. The vulnerability impacts data source and plugin proxy endpoints with authentication tokens. The destination plugin could receive a user's Grafana authentication token. Versions 9.1.8 and 8.5.14 contain a patch for this issue. As a workaround, do not use API keys, JWT authentication, or any HTTP Header based authentication.
CVE-2022-39201
Grafana is an open source observability and data visualization platform. Starting with version 5.0.0-beta1 and prior to versions 8.5.14 and 9.1.8, Grafana could leak the authentication cookie of users to plugins. The vulnerability impacts data source and plugin proxy endpoints under certain conditions. The destination plugin could receive a user's Grafana authentication cookie. Versions 9.1.8 and 8.5.14 contain a patch for this issue. There are no known workarounds.
CVE-2022-39306
Grafana is an open-source platform for monitoring and observability. Versions prior to 9.2.4, or 8.5.15 on the 8.X branch, are subject to Improper Input Validation. Grafana admins can invite other members to the organization they are an admin for. When admins add members to the organization, non existing users get an email invite, existing members are added directly to the organization. When an invite link is sent, it allows users to sign up with whatever username/email address the user chooses and become a member of the organization. This introduces a vulnerability which can be used with malicious intent. This issue is patched in version 9.2.4, and has been backported to 8.5.15. There are no known workarounds.
CVE-2022-39307
Grafana is an open-source platform for monitoring and observability. When using the forget password on the login page, a POST request is made to the `/api/user/password/sent-reset-email` URL. When the username or email does not exist, a JSON response contains a “user not found” message. This leaks information to unauthenticated users and introduces a security risk. This issue has been patched in 9.2.4 and backported to 8.5.15. There are no known workarounds.
CVE-2022-39324
Grafana is an open-source platform for monitoring and observability. Prior to versions 8.5.16 and 9.2.8, malicious user can create a snapshot and arbitrarily choose the `originalUrl` parameter by editing the query, thanks to a web proxy. When another user opens the URL of the snapshot, they will be presented with the regular web interface delivered by the trusted Grafana server. The `Open original dashboard` button no longer points to the to the real original dashboard but to the attacker’s injected URL. This issue is fixed in versions 8.5.16 and 9.2.8.
CVE-2022-41717
An attacker can cause excessive memory growth in a Go server accepting HTTP/2 requests. HTTP/2 server connections contain a cache of HTTP header keys sent by the client. While the total number of entries in this cache is capped, an attacker sending very large keys can cause the server to allocate approximately 64 MiB per open connection.
CVE-2023-24534
HTTP and MIME header parsing can allocate large amounts of memory, even when parsing small inputs, potentially leading to a denial of service. Certain unusual patterns of input data can cause the common function used to parse HTTP and MIME headers to allocate substantially more memory than required to hold the parsed headers. An attacker can exploit this behavior to cause an HTTP server to allocate large amounts of memory from a small request, potentially leading to memory exhaustion and a denial of service. With fix, header parsing now correctly allocates only the memory required to hold parsed headers.