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External threat coverage

CryptoRank

Crypto

Make CryptoRank part of your external attack-surface coverage. Doppel focuses on fraudulent or infringing token listings that borrow trusted project names and helps teams move validated abuse into the supported response path.

CryptoRank

Integration overview

How Doppel + CryptoRank helps security teams

Scam tokens can borrow a legitimate project name or ticker to create credibility during launches, promotions, or social-engineering campaigns. Doppel addresses this by helping teams identify infringing tokens and move them toward delisting. When the same actor uses domains, social profiles, ads, email, or other channels, those signals can be evaluated as one social-engineering operation.

Integration benefits

Find tokens misusing your brand or project identity

Use Doppel’s CryptoRank coverage to surface this behavior in the context where users encounter it.

Validate whether suspicious assets are tied to a broader scam

Connect the CryptoRank evidence to other attacker-controlled assets so the investigation is not limited to a single platform artifact.

Support delisting of confirmed infringing tokens

Move a validated finding into the response path supported for CryptoRank, with evidence retained for follow-up and campaign tracking.

Better together

How CryptoRank fits into campaign-level defense

On CryptoRank, Doppel looks for fraudulent or infringing token listings that borrow trusted project names. Once validated, the evidence can be connected to other attacker-controlled assets and moved through the response path supported for this platform.

Use case overview

Common CryptoRank use cases with Doppel

Find tokens misusing your brand or project identity

Use the CryptoRank capability when this is the first visible sign of a larger external campaign.

Validate whether suspicious assets are tied to a broader scam

Follow the evidence across channels so responders can prioritize the whole operation, not just one artifact.

Support delisting of confirmed infringing tokens

Keep the response tied to the validated evidence and the team that owns the next step.

Challenge

The challenge on CryptoRank

Scam tokens can borrow a legitimate project name or ticker to create credibility during launches, promotions, or social-engineering campaigns.

Solution

How Doppel + CryptoRank helps

Find infringing tokens and support delisting. Doppel then helps responders evaluate whether the CryptoRank evidence is connected to a larger social-engineering campaign.

Why CryptoRank belongs in external attack-surface coverage

Scam tokens can borrow a legitimate project name or ticker to create credibility during launches, promotions, or social-engineering campaigns. A CryptoRank asset can be the first lure, the credibility layer, or the final step that moves a victim into a phishing, payment, support, or investment scam.

Beyond one-off CryptoRank monitoring

Doppel helps teams identify infringing tokens and move them toward delisting and relate the finding to the attacker’s wider infrastructure. That makes response more durable than reporting one account, listing, ad, message, or URL at a time.

FAQs

Frequently asked questions

What does Doppel look for on CryptoRank?
Doppel focuses on fraudulent or infringing token listings that borrow trusted project names. Find infringing tokens and support delisting.
Can Doppel help remove or delist impersonating assets on CryptoRank?
Find infringing tokens and support delisting. The exact response depends on whether the abuse is a token, NFT, account, or other marketplace object
How does CryptoRank activity connect to the rest of an attack?
Doppel can evaluate a CryptoRank finding alongside related domains, accounts, ads, email, or other external infrastructure so responders can see whether it belongs to a coordinated social-engineering campaign.
Who should use Doppel coverage for CryptoRank?
The page is most relevant to web3 fraud and brand protection teams dealing with fraudulent or infringing token listings that borrow trusted project names.

Walk through a real CryptoRank use case

Bring a real CryptoRank abuse scenario to the demo. We can walk through what Doppel looks for, how related infrastructure is connected, and what remediation path is supported.