Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DC361B8A1804A6B6257D0D49373971A2242E222EF131FC493F046B9AFD9ED5CD637C7 |
|
CONTENT
ssdeep
|
3072:ltiX6aX6aX6aX6aX6aX6gX6aX6aX6aX6aX6aX6I1HbbO8H:lAX6aX6aX6aX6aX6aX6gX6aX6aX6aX6C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6c92934b693c2c |
|
VISUAL
aHash
|
00f09191f1ffffff |
|
VISUAL
dHash
|
49363733238d6222 |
|
VISUAL
wHash
|
00f08080a0ffffff |
|
VISUAL
colorHash
|
07002000000 |
|
VISUAL
cropResistant
|
49363733238d6222,59f071b776262c2c |
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 306642 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.