What is automated malware analysis and detonation?

Automated malware analysis inspects suspicious files, memory dumps, and binaries using static reverse-engineering and dynamic behavioral detonation within isolated sandboxes to observe true execution intent.

Does Prava generate detection signatures from malware analysis?

Yes. Dynamic detonation automatically extracts Indicators of Compromise (IoCs) and generates actionable YARA and Sigma detection rules within seconds to update endpoint sensors enterprise-wide.

How are malware behaviors mapped to security frameworks?

Observed malicious tactics, techniques, and procedures (TTPs)—such as process hollowing, API unhooking, and credential dumping—are mapped directly to the MITRE ATT&CK enterprise matrix.

Capability

Malware Analysis

Dissect the threat. Understand the behaviour. Build the defence.

Prava Automated Malware Analysis is a cloud sandboxing and reverse engineering platform that detonates suspicious payloads, analyzes dynamic execution heuristics, and extracts zero-day indicators of compromise in seconds.

Coverage

5 analysis capabilities

Delivery

Automated analysis + analyst-led review

Cadence

Continuous, not periodic

Scope

What is covered

Prava analyses suspicious files and malicious code in isolated environments to understand what they contain, what they do, and how they behave. Static and dynamic evidence is correlated into attacker techniques, indicators, and detection logic that can be applied across your security environment.

Automated sandbox & dynamic analysis
Static analysis & binary inspection
Behaviour & technique mapping
IOC & artifact extraction
Detection logic & threat intelligence

Method

How a sample is dissected

Analyze suspicious files and behavior to uncover hidden threats, malicious patterns, and indicators of compromise.

PRAVA turns findings into actionable intelligence for faster investigation and response.

Trace malware behavior to understand how it enters, executes, and impacts your environment.

Isolate

Execute it where it cannot reach you.

Every sample enters a controlled, disposable environment designed to observe malicious activity without exposing the surrounding infrastructure.

Inspect

Read the code before running it.

Prava examines binaries, strings, imports, resources, packing, structure, and embedded components to uncover capabilities that may not immediately appear during execution.

Detonate

Watch what the code actually does.

The sample is executed under instrumentation while Prava records process creation, file and registry changes, network activity, persistence attempts, API behaviour, and other runtime actions.

Understand

Turn behaviour into attacker intelligence.

Observed activity is mapped to techniques and patterns rather than stopping at a malware-family label. The result is an explanation of how the sample operates and what that behaviour means for your environment.

Detect

End the analysis with something your defences can use.

Relevant behaviours and indicators are converted into detection logic, IOCs, signatures, and threat intelligence that can feed your security stack.

Pipeline

From sample to defence

One pass, end to end. A sample goes into the sandbox, splits across the static and dynamic passes, converges into a picture of its behaviour, and comes out as indicators and detection logic. The analysis is finished when your defences have something to run, not when the write-up is filed.

Sample. A file arrives and goes straight into a controlled, disposable environment. Nothing about it is trusted yet, and nothing it does from here can reach anything you own.

Static analysis. The code is read before it is ever run — strings, imports, resources, packing, structure. Some of what a sample is capable of is visible here and nowhere else.

Dynamic analysis. Then it is detonated under instrumentation. Process creation, file and registry changes, network activity and persistence attempts are recorded as they happen.

Behaviour. The two passes converge. What the code contains and what it actually did are read together, which is what separates a capability a sample has from one it only appears to have.

IOCs. Hashes, domains, addresses, files, registry keys and mutexes come out with the behaviour that produced them still attached, rather than as a list with no provenance.

Detection. The analysis ends as something your stack can run — detection logic, signatures and intelligence — not as a document that has to be read before it is worth anything.

What you get

The intelligence, not the report

Behaviour

Know what the sample actually does

Go beyond a malware name or verdict. Understand execution, persistence, evasion, communication, file activity, and the complete behavioural chain.

Evidence

Every action leaves a trail

Extract hashes, domains, IPs, files, registry changes, mutexes, processes, and other artifacts alongside the behavioural evidence that produced them.

Detection

Analysis becomes defence

The final output is not just a report. Relevant findings become detection rules, signatures, indicators, and intelligence that your security controls can act on.

Next step

Start with a scoping call.

One conversation is usually enough to work out whether this is the right place to begin. If it is not, we will say so.

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