Crates.io | malwaredb-client |
lib.rs | malwaredb-client |
version | |
source | src |
created_at | 2023-08-22 03:29:57.166811+00 |
updated_at | 2025-02-01 01:49:29.173018+00 |
description | Client application for MalwareDB. |
homepage | https://malwaredb.net/ |
repository | https://github.com/malwaredb/malwaredb-rs |
max_upload_size | |
id | 950693 |
Cargo.toml error: | TOML parse error at line 18, column 1 | 18 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include` |
size | 0 |
This application submits and retrieves samples (binaries of any time which MalwareDB knows about) from the MalwareDB server over the http protocol.
mdb_client login http://localhost:8080 myusername
. You'll be prompted for your password.mdb_client whoami
. This will show your user information, including groups and sources you have access to.mdb_client server-info
to see some overall stats about the server.mdb_client server-types
to see which file types the server knows about, and will store samples of these types.mdb_client whoami
to ensure you're logged in.mdb_client submit-samples -s 1 /path/to/files/
.
-p password
and a Zip file to load files from a password-protected Zip file. There is logic to distinquish from a Zip file that's actually an MS Office document versus an archive of files.mdb_client whoami
to ensure you're logged in.mdb_client retrieve-sample c8a9335b95774a30addf372395e9a148
to retrieve a sample by it's hash.
mdb_client whoami
to ensure you're logged in.mdb_client find-similar /path/to/file
. This will calculate the various similarity hashes for the file, and send them to the server to find samples which are similar.