Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E93D531624219BFDA9783F8B6B167BDE49FC38CCA67D95CF3AC419127C2C8889115D8 |
|
CONTENT
ssdeep
|
768:FsU2U39NmuzPNrL8C4BAf+3oSKtzSyO6WcQ1awsGtVbyb/Tb3uE1XQyN55QV5U6b:j9mCiSmT6WcQ1v21XQyNHQ7U68F5c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc338d33bc31b38c |
|
VISUAL
aHash
|
83383c1810001818 |
|
VISUAL
dHash
|
36616130b068f0b2 |
|
VISUAL
wHash
|
ff3c3c38183c383c |
|
VISUAL
colorHash
|
38001440040 |
|
VISUAL
cropResistant
|
36616130b068f0b2 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 303 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.