Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173D3B7AC738103BE707392F0A110BF157599EB0FE61BE7A4D7958521BFCBC696C211A2 |
|
CONTENT
ssdeep
|
768:7IWLhTOVHHBvixAfjtvjhPd8Mg40CTOBHfFLXclg18cTg1YJEJJRsbPWg1fc4fZS:7UZnI9DcCKcsXenZc+5c9eAC+S/Kwu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46e93b941291b3b |
|
VISUAL
aHash
|
00f0f0f0f0ffffff |
|
VISUAL
dHash
|
432464e6273022c8 |
|
VISUAL
wHash
|
00f01070f0fff6ee |
|
VISUAL
colorHash
|
070010000c1 |
|
VISUAL
cropResistant
|
a624e6e6233002dc,61232424e6e624a3 |
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 108 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.