The Fake Interview Episode 02 follows the fake-interview attack path before the victim sees malware: the fake company, the recruiter profile, the broken call, the coding test, the repository, and the moment professional cooperation becomes code execution.
This page supports the episode without turning the audio into a walkthrough.
No live endpoints, reusable exploit steps, victim records, credentials, active infrastructure, payload addresses, private repository details, or operational access methods are published here.
Listen
Apple Podcasts:
https://podcasts.apple.com/us/podcast/the-fake-interview/id1895885828
RSS feed:
https://podcast.redasgard.com/@FakeInterview/feed.xml
Related Written Investigation
This episode is based on findings from Red Asgard’s written investigation:
Hunting Lazarus Part II: When the Dead Drop Moved to the Blockchain
The written article provides broader technical context. The audio version and this companion page intentionally avoid live indicators, reusable access details, victim-specific information, and payload retrieval instructions.
What Episode 02 Covers
Episode 02 focuses on how a fake interview becomes an execution environment.
The core sequence is simple:
- A plausible company appears.
- A recruiter or project contact reaches out.
- The interview process has friction, but not enough to stop the target.
- The technical task arrives.
- The developer is asked to clone and run a repository.
- The repository reaches outward.
- Payload delivery moves through infrastructure designed to survive takedown pressure.
This is not ordinary phishing. The attacker does not only ask the victim to click a link or enter a password. The attacker asks the victim to behave like a developer.
Clone the repository. Install the dependencies. Run the app. Share your screen. Let’s debug it together.
That is the trap.
The Lure
The fake company does not need to be perfect.
It only needs to be plausible long enough for the technical task to arrive.
The credibility layer can be assembled from ordinary pieces:
- a working website
- a recruiter profile
- a LinkedIn connection graph
- a plausible startup story
- a private repository
- a role that sounds normal in the remote crypto job market
None of those signals proves legitimacy.
Together, they can move a target from suspicion to cooperation.
The important lesson is not that every recruiter is fake. The lesson is that credibility can be manufactured from signals people already use to make fast decisions.
Why LinkedIn Matters
LinkedIn is often treated as a trust layer.
In this campaign model, it becomes infrastructure.
A profile can contain a real face, a real work history, real connections, and still be used as part of a malicious approach. The account may be stolen, rented, purchased, slowly cultivated, or operated by someone who does not understand the final purpose.
A target checks LinkedIn and sees a person.
The operator sees infrastructure.
That does not mean LinkedIn is useless. It means LinkedIn is a signal, not proof.
The Interview Friction Pattern
A single strange event may be explainable.
A cluster of strange events should slow the process down.
Common friction patterns include:
- text-only or voice-only calls
- broken camera explanations
- rushed setup requests
- repository platform changes
- refusal to demo the project on the sender’s machine
- pressure to run code live during the call
One of these may happen in a legitimate interview.
Several together change the risk model.
The question is not:
Is this definitely malicious?
The better question is:
Why does this unknown interview require trusted local execution on my real workstation?
The Execution Environment
A developer workstation is not just a laptop.
It can contain:
- source-control sessions
- SSH keys
- cloud credentials
- package registry tokens
- wallet extensions
- browser profiles
- saved sessions
- local project secrets
- access to client systems
- access to company systems
That is why the attacker wants the real machine.
A clean virtual machine is less valuable. A burner environment is less valuable. A separate browser profile is less valuable.
The campaign wants the environment where real work happens.
Why “Just Read the Code First” Is Not Enough
Code review matters, but it is not a complete defense.
Modern development projects are noisy. JavaScript and Web3 projects can include many files, dependencies, scripts, framework conventions, editor settings, generated artifacts, and setup steps.
A malicious repository does not have to look like a bomb.
It can look like a bad startup repo.
Developers are used to bad startup repos: missing environment variables, broken instructions, dependency mismatches, strange build steps, abandoned branches, and setup commands that only work on someone else’s machine.
The attack abuses a useful engineering reflex:
Keep going until it runs.
In a fake interview, that reflex becomes an attack path.
What “Called Home” Means
The repository does not need to contain the entire payload.
A smaller first-stage component can execute locally, reach outward, and retrieve the next instruction.
That design gives the operator flexibility:
- the lure can stay small
- the first-stage code can change less often
- backend infrastructure can rotate
- payloads can be staged
- different victims can receive different follow-on behavior
- defenders have more than one layer to analyze
One malicious repository is a scam.
A repository that calls home to a staged delivery system is a campaign.
Dead Drops
A dead drop is a mailbox.
Instead of hardcoding one final command server forever, malware can check an intermediate location for updated instructions.
That gives the operator flexibility.
It also gives defenders something to remove.
Public paste services can suspend accounts. URLs can disappear. Abuse reports can work. Takedown pressure can break parts of the chain.
That pressure does not always end the campaign.
It can force the campaign to evolve.
The Blockchain Move
Episode 02 focuses on one evolution: moving part of the delivery system to blockchain infrastructure.
In the observed pattern, the malware interacted with Polygon in a way that looked normal for a Web3 project.
Polygon is a blockchain. Legitimate crypto applications talk to blockchains constantly. They query chain data, interact with smart contracts, and use RPC providers as part of normal application behavior.
That normality gave the operators cover.
The important public-safe concept is this:
The blockchain was not the target. It was the mailbox.
A smart contract can hold data. Malware can retrieve data from a contract, reconstruct it, and treat it as a payload or instruction source.
This creates a defender problem.
A paste account can be suspended. A server can be seized. A domain can be blocked.
A public smart contract does not disappear because a hosting provider receives an abuse report.
Blocking blockchain access may also break legitimate Web3 work.
That tradeoff is what made the technique useful.
Why This Matters for Companies
The company may never receive the fake recruiter message.
It may never approve the interview.
It may never see the coding test.
But if a developer runs the repository on a machine that also holds company access, the company enters the blast radius.
The attacker does not need to breach the company perimeter first.
They can target the person whose workstation already bridges personal opportunity and organizational access.
That is why developer endpoint security is supply-chain security.
The fake interview is the front door.
The blast radius begins after the door opens.
Practical Guidance for Developers
Unknown interview code belongs in a hostile environment until it earns trust.
Minimum safe handling:
- use a disposable virtual machine
- use a separate browser profile
- do not mount SSH keys
- do not expose cloud credentials
- do not keep wallet extensions in the environment
- inspect package scripts before installing dependencies
- inspect editor workspace configuration before trusting the folder
- do not run unknown code live under recruiter pressure
- ask the sender to demo the project on their own machine first
- slow down when multiple weak signals cluster
This does not need to be dramatic.
It is just friction.
And friction is what the attacker is trying to remove.
Practical Guidance for Companies
Treat developer-side interview risk as part of your access model.
Recommended controls:
- separate personal/freelance workstations from company-managed workstations
- restrict long-lived credentials on developer endpoints
- prefer short-lived cloud credentials
- monitor unusual source-control token use
- require hardware-backed authentication where possible
- restrict package publishing permissions
- separate wallet activity from development environments
- provide disposable analysis environments for candidate code review
- train developers to recognize fake-interview patterns without blaming victims
The goal is not paranoia.
The goal is reducing the value of a single developer workstation compromise.
What This Episode Does Not Publish
This companion note does not publish:
- live infrastructure
- contract addresses
- payload retrieval details
- victim records
- credential material
- exploit steps
- active campaign identifiers
- operational access methods
- instructions for reproducing the attack
Those details belong in vetted advisories, law-enforcement packages, or controlled partner channels, not in a public podcast companion page.
Key Takeaway
The campaign did not need the victim to make one absurd decision.
It needed the victim to make a series of reasonable decisions without stopping to ask why all of them were pointing in the same direction.
Run the code.
That was the destination.
Everything before it was the path.
In this campaign, the blockchain was not the target.
It was the mailbox.