At Black Hat, each new knowledge supply is a trade-off.
Extra telemetry means higher visibility – but additionally extra knowledge for risk hunters to sift by.
From SMA to SAA: Similar Want, Completely different Downside
Just lately, Splunk Assault Analyzer (SAA) outdated Safe Malware Analytics (SMA) because the official malware risk evaluation platform at Black Hat.
With SMA, we had a easy and efficient sample:
- Submissions exceeding a rating threshold
- Mechanically surfaced to the Menace Hunters’ incident queue on Cisco XDR
It labored effectively. So naturally, we wished the identical end result with SAA.
SAA supplies granular knowledge throughout a number of sourcetypes, permitting for vital flexibility in how info is offered. By mapping these knowledge streams collectively, we tailor-made our reporting to ship a complete, cohesive view of our risk panorama.
The Turning Level: Collaboration
That is the place David and Lily stepped in. They constructed a question that:
- Extracts submission metadata (URL, Job ID, engines used)
- Makes use of the Job ID to retrieve high-scoring outcomes (≥85)
- Joins and reshapes each datasets right into a single, usable construction
This was a transformative shift. By tailoring our configuration to satisfy our particular necessities, we unlocked a brand new degree of visibility. This strategy delivered the deep, actionable insights essential to optimize our workflow.
Constructing the Workflow
With the question prepared, the main focus shifted to automation.
As a substitute of ranging from scratch, we reused current ingestion parts and tailored them for this knowledge construction.
Then got here an vital choice: Concentrate on what issues for detection of threats at Black Hat.
SAA can settle for any file format and URLs for evaluation which suggests we noticed many protocols getting used, together with:
However solely HTTP had significant quantity and relevance for the occasion.
So, we lower the remainder. POP3/SMTP would get an opportunity subsequent time round.
This was precision – prioritizing impression over completeness.
Enriching with Community Context and lowering noise
A file submitted through HTTP doesn’t exist in isolation – it has community context. So, we enriched every submission with:
- Associated site visitors telemetry
- Directionality
- Motion context (allowed vs blocked)
This turned remoted outcomes into one thing risk hunters might really examine.
At this stage, we hit acquainted challenges:
- Timestamp normalization (epoch → RFC3339)
- Motion context extraction (allowed vs blocked)
- Site visitors directionality
All vital for correct ingestion into XDR.
One difficulty almost derailed the correlation logic. Site visitors originating from inner zones was routed by zScaler, leading to:
- Shared vacation spot IPs
- A number of unrelated occasions bundled collectively
This might create false correlations – precisely the noise we had been making an attempt to keep away from.
The repair? A focused exception to filter it out.
Extremely custom-made – however efficient.
The Final result: Higher Indicators for Hunters
The workflow produced a brand new detection stream in Cisco XDR – powered by SAA submissions, enriched with community context.
At first look, some alerts seemed crucial primarily based on their attributes of:
- Excessive scores
- A number of inner techniques concerned
- Suspicious JavaScript obfuscation behaviour
However investigation advised a special story.
A respectable Twitter embed. Flagged by heuristics.
False constructive. And that’s the purpose.
With correct context and evaluation from Assault Storyboard, the group shortly validated and dismissed it.
And that’s the actual win. This workflow wasn’t about including one other knowledge supply.
It was about:
- Surfacing high-risk submissions routinely
- Offering community context for quicker triage
- Serving to risk hunters dismiss noise quicker
This workflow is way from excellent. It would evolve, similar to every little thing else we construct at Black Hat.
“In the long run, the perfect detection isn’t the highest scored one – it’s the one you’ll be able to act on.”
Try the opposite blogs from our group at Black Hat Asia 2026.
About Black Hat
Black Hat is the cybersecurity trade’s most established and in-depth safety occasion sequence. Based in 1997, these annual, multi-day occasions present attendees with the newest in cybersecurity analysis, improvement, and traits. Pushed by the wants of the neighborhood, Black Hat occasions showcase content material instantly from the neighborhood by Briefings shows, Trainings programs, Summits, and extra. Because the occasion sequence the place all profession ranges and tutorial disciplines convene to collaborate, community, and focus on the cybersecurity matters that matter most to them, attendees can discover Black Hat occasions in america, Canada, Europe, Center East and Africa, and Asia. For extra info, please go to www.Black Hat.com.
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