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Tenzir v4.11

Β· 6 min read
Dominik Lohmann

Our latest v4.11 release delivers powerful automation features, such as scheduling pipelines in a given time interval and sending pipeline data as emails.

Execute Sources on a Schedule​

One feedback we've heard often from users is that the from <url> invocation is indeed handy, but it's more practical when it's not a one-time gig. Users expressed a need to retrieve data from various sources more than just once, indicating a requirement for a more cyclical or scheduled approach.

Given these requirements, we initially considered adding options for continuous data retrieval or polling for specific connectors, such as http. However, we realized that the need for such functionality ranged beyond a limited number of connectors. Hence, any solution we developed would ideally adapt to any source operator, providing wider functionality.

In response to these needs, we developed a new operator modifier that empowers any source operator to execute at regular intervals: every <interval>.

For instance, the operator every 1s from <url> will enable the system to poll the specified URL every single second. The capability delivers continuous, real-time data access, considerably improving the feasibility and efficiency of tasks requiring frequent data updates.

One area where we've found the every <interval> modifier to be especially valuable is in the context of updating contexts. Consider a pipeline designed to update a lookup-table context titled threatfox-domains once every hour. This operation, which fetches IOCs (Indicators of Compromise) from the ThreatFox API, can be achieved using the following pipeline:

every 1 hour from https://threatfox-api.abuse.ch/api/v1/ query=get_iocs days:=1
| yield data[]
| where ioc_type == "domain"
| context update threatfox-domains --key ioc

This pipeline initiates a query to retrieve the IOCs for the day from the ThreatFox API. The pipeline subsequently filters out the data relevant to domains and updates the threatfox-domains context. The entire pipeline refreshes every hour as specified by the every 1 hour operator modifier.

The every <interval> operator modifier thus adds a powerful tool to our arsenal, increasing our capabilities by adapting to any source operator for scheduled execution.

Enrich More Flexibly​

A customer of ours asked a seemingly simple question: If I have a lookup-table context that contains entries in the form {"key": "DE", "context": {"flag": "πŸ‡©πŸ‡ͺ"}} and want to use it to replace country short codes with their respective flag as an emoji, how can I do that?

If you're just replacing the value of a single field then it's easyβ€”you can just use put to replace the input value with its context after the enrichment. But this user wanted to look into every single string in every event, and replace all country short codes that it contained.

Two newly added options for the enrich operator make this easily possible:

…
| enrich country-flags --field :string --yield flag --replace

The --replace flag causes enrich to replace fields with their context, if they exists. The option --yield <field> trims down the enrichment to just a specific field within the context. The --yield option is also available for the lookup operator.

Before
{
"source_ip": 212.12.56.176,
"source_iso_code": "DE",
"dest_ip": 8.8.8.8,
"dest_iso_code": "US"
}
After
{
"source_ip": 212.12.56.176,
"source_iso_code": "πŸ‡©πŸ‡ͺ",
"dest_ip": 8.8.8.8,
"dest_iso_code": "πŸ‡ΊπŸ‡Έ"
}

The other new option of lookup and enrich is --separate, which creates separate events for every enrichment. This causes events to be duplicated for every enrichment from a context that applies, with one enrichment per event in the result. This is particularly useful in lookup when evaluating a large set of IOCs to create separate alerts per IOC even within a single event.

Enriched as one event
{
"source_ip": 212.12.56.176,
"source_iso_code": "DE",
"dest_ip": 8.8.8.8,
"dest_iso_code": "US",
"flags": {
"source_ip": {
"value": "212.12.56.176"
"timestamp": "2024-03-21T15:12:07.493155",
"mode": "enrich",
"context": {
"flag": "πŸ‡©πŸ‡ͺ"
}
}
"dest_ip": {
"value": "8.8.8.8"
"timestamp": "2024-03-21T15:12:07.493155",
"mode": "enrich",
"context": {
"flag": "πŸ‡ΊπŸ‡Έ"
}
}
}
}
Enriched as separate events
{
"source_ip": 212.12.56.176,
"source_iso_code": "DE",
"dest_ip": 8.8.8.8,
"dest_iso_code": "US",
"flags": {
"path": "source_ip",
"value": "212.12.56.176"
"timestamp": "2024-03-21T15:12:07.493155",
"mode": "enrich",
"context": {
"flag": "πŸ‡©πŸ‡ͺ"
}
}
}
{
"source_ip": 212.12.56.176,
"source_iso_code": "DE",
"dest_ip": 8.8.8.8,
"dest_iso_code": "US",
"flags": {
"path": "source_ip",
"value": "8.8.8.8"
"timestamp": "2024-03-21T15:12:07.493155",
"mode": "enrich",
"context": {
"flag": "πŸ‡ΊπŸ‡Έ"
}
}
}

The Sweet Spot Between Extend and Replace​

The set operator "upserts" into events. Its syntax exactly matches the syntax of the existing extend, replace, and put operators.

If a specified field already exists, the set operator replaces its value. If it does not, the set operator extends the event with new field. We found this behavior to be quite intuitive, and in most cases we now reach for set instead of replace and extend.

Setting the Schema Name

The set, put, and replace operator support changing the schema name of events. For example, set #schema="foo.bar" will show up as a schema bar in the category foo in the Explorer on app.tenzir.com.

Send Emails from a Pipeline​

The new email saver sends away pipeline contents as mails. This is especially handy for integrating with traditional escalation pathways that rely on email-based dispatching methods.

For example, to send all Suricata alerts arriving at a node via email, use:

export --live
| where #schema == "suricata.alert"
| write json
| save email alerts@example.org --from "tenzir@example.org" --subject Alert

The email saver supports both SMTP and SMTPS. The default endpoint is smtp://localhost:25, but you can provide any other server. Instead of copying the rendered JSON directly into the email body, you can also provide the --mime to send a MIME-encoded chunk that uses the MIME type according to the format you provided.

Working with Amazon SQS Queues​

The new sqs enables reading from and writing to Amazon SQS queues. For example, importing JSON from an SQS queue named tenzir into a node looks like this:

from sqs://tenzir | import

Other Changes​

As usual, the complete list of bug fixes, adjustments, and enhancements delivered with this version can be found in the changelog.

Explore the latest features at app.tenzir.com and connect with us on our Discord server.