Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147A2937A9205293F62178BD8F636337A33A7515EDF17021462BC83E423D9DA9ED37890 |
|
CONTENT
ssdeep
|
384:JHIIXDMIdAfPASQAa8A52A3FAEzPma7OZiGor1sEfbntMOxT:JHIITDdAfPASQAa8A52A3FAEzOa70erD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2c378c798c85bcc |
|
VISUAL
aHash
|
e5e7efdfe7e7d3c3 |
|
VISUAL
dHash
|
494c4c90084c9696 |
|
VISUAL
wHash
|
a4e0e0c4bdc7d3c3 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
494c4c90084c9696 |
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 119 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.