Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DE3EB63A2E5137B020F11DBF1666F94E7E6609DE6625EC0A0EC4BD80782C7093B76D7 |
|
CONTENT
ssdeep
|
1536:rWPtj/ar2BgK4l60S8J3QaQy/Wd4t+rZedRefho2iJe+SeReZeqeteMe1SekeUea:Jr2BgK4l7JQaQy/ik+qP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f879ce8786963294 |
|
VISUAL
aHash
|
a9c1c1c1ffffffff |
|
VISUAL
dHash
|
511b9b9bc092b425 |
|
VISUAL
wHash
|
81c0c0c0fedbdf95 |
|
VISUAL
colorHash
|
06000400030 |
|
VISUAL
cropResistant
|
511b9b9bc092b425,9d83a31b03050505,2149753373636b6b |
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 279 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.