private_key_jwt (preferred for web apps)The client sends a JSON Web Token, or JWT, signed with a private key (minimum length of 2048 bits) when requesting access tokens. The corresponding public key is registered with the IdP ahead of time, similar to SAML.
nonceA unique value, at least 22 characters in length, used to verify the integrity of the id_token and mitigate replay attacks. This value should include per-session state and be unguessable by attackers. This value will be present in the id_token of the token endpoint response, where clients will verify that the nonce claim value is equal to the value of the nonce parameter sent in the authentication request. Read more about nonce implementation in the spec.
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id_token (string)A signed JWT that contains basic attributes about the user and it is signed using the RS256 algorithm. The public key used to verify this JWT is available from the certificates endpoint.
The user info endpoint is used to retrieve user attributes. Clients use the access_token from the token response as a bearer token in the HTTP Authorization header. To request attributes, send an HTTP GET request to the /api/openid_connect/userinfo endpoint, for example:
Gooligan is a malware family that runs privilege escalation exploits on Android devices and then uses its escalated privileges to steal authentication tokens that can be used to access data from many Google applications. Gooligan has been described as part of the Ghost Push Android malware family.
Peirates is a post-exploitation Kubernetes exploitation framework with a focus on gathering service account tokens for lateral movement and privilege escalation. The tool is written in GoLang and publicly available on GitHub.
Initially, you might want to train the spam filter manually to quicklybuild a database of spam and non-spam tokens, words, or short charactersequences that are commonly found in spam or ham. To do this, you canmanually forward messages as message/rfc822 attachments to the spam andnon-spam mailboxes. When zmtrainsa runs, these messages are used to teachthe spam filter. Make sure you add a large enough sampling of messages toget accurate scores. To determine whether to mark messages as spam at least200 known spams and 200 known hams must be identified.
Initially, you might want to train the spam filter manually to quicklybuild a database of spam and non-spam tokens, words, or short charactersequences that are commonly found in spam or ham. To do this, you canmanually forward messages as message/rfc822 attachments to the spam andnon-spam mailboxes.
Due to changes in the way multi-valued ephemeral data is stored, the attributes zimbraAuthTokens and zimbraCsrfTokenDataare no longer returned as part of the zmprov ga response. The value of zimbraLastLogonTimestamp is returnedas before, although only if the -l flag is not used, as adding the -l flag will restrict the server to accessing attributesin LDAP only. It is still possible to modify these attributes using the zmprov ma command, regardless of theephemeral backend. In order to do this, the provided attribute value must match its LDAP format: tokenIdexpirationserverVersionfor auth tokens; data:crumb:expiration for CSRF tokens.
Ephemeral data deletion behavior differs slightly between SSDB and LDAP backends. With SSDB as the backend, account deletionresults in the zimbraLastLogonTimestamp attribute being explicitly deleted from SSDB. zimbraAuthTokens and zimbraCsrfTokenData,however, are left to be expired by SSDB when the token lifetimes are reached (default of 2 days). Conversely, ephemeral datain LDAP is wiped immediately as part of the account deletion process.
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