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Open Source CAI Framework Handles Pen Testing Tasks up to 3,600× Faster Than Humans
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.
An SDK to easily utilize G DATA VaaS.
Verdict-as-a-Service (VaaS) is a service that provides a platform for scanning files for malware and other threats. It allows easy integration in your application. With a few lines of code, you can start scanning files for malware.
It gives you as a developer a functions to talk to G DATA VaaS. It wraps away the complexity of the API into 3 basic functions.
If you calculate the sha256 for a file, you can request that sha256 against G DATA VaaS. It's the fastest way to get a verdict from our service.
If you want to request if a file behind a URL is safe, you can specify the URL as well. Depending on the file size, the duration for the analysis can vary.
You can also ask for a file itself. You will still get the benefit of a fast verdict via Sha256 because the SDK will do that for you first. But additionally, if we don't know the file, the file will get uploaded and (automatically) analyzed by us.
The verdicts are simple. They are either
Clean
: The scanners didn't find anything malicious.Malicious
: The scanners found something malicious.Unknown
: We don't know the file hash yet. A scan is then performed for each except for_sha256
function.Pup
: Potentially Unwanted Program (Adware, Spyware, etc.)The scan functions will return the following dict:
{
"Sha256": "<Sha256>",
"Guid": "<Guid>",
"Verdict": <"Clean"|"Malicious"|"Unknown"|"Pup">,
"Detection": "<Name of the detected malware>",
"FileType": "<FileType>",
"MimeType": "<MimeType>"
}
pip3 install gdata-vaas
from vaas import Vaas, ClientCredentialsGrantAuthenticator
Authentication & Initializing:
authenticator = ClientCredentialsGrantAuthenticator(
CLIENT_ID,
CLIENT_SECRET,
TOKEN_URL,
SSL_VERIFICATION
)
Verdict Request for SHA256:
async with Vaas() as vaas:
await vaas.connect(await authenticator.get_token())
sha256 = "275a021bbfb6489e54d471899f7db9d1663fc695ec2fe2a2c4538aabf651fd0f"
verdict = await vaas.for_sha256(sha256)
Verdict Request for a file:
async with Vaas() as vaas:
await vaas.connect(await authenticator.get_token())
path = "/path/to/file"
verdict = await vaas.for_file(path)
Verdict Request for a URL:
async with Vaas() as vaas:
await vaas.connect(await authenticator.get_token())
url = "https://www.gdatasoftware.com/oem/verdict-as-a-service"
verdict = await vaas.for_url(url)
You need credentials to use the service in your application. If you are interested in using VaaS, please contact us.
Every single SDKs also includes Devcontainer. If you use the Visual Studio Code Dev Containers extension, you can run the code in a full-featured development environment.
FAQs
gdata-vaas is a Python library for the VaaS-API.
We found that gdata-vaas demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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