Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6231AF0A35066FD90034FB8F2716A99A32EB1BEDFCBC794D295835652A54B6CC4CC84 |
|
CONTENT
ssdeep
|
768:ky9UO/o9FO0SKcurbQHXzq966T9Pnkc8VzvuVzv9VzvOVzvbVzvNMVzvKVzvQ596:cOYFNcu/Q3u96mn2VzGVzlVzGVzDVzeK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83aa2aaa6aaaabab |
|
VISUAL
aHash
|
01427f3e7c7e2a80 |
|
VISUAL
dHash
|
43d2c2f0c4c4d200 |
|
VISUAL
wHash
|
01c37f7e7c7c2a80 |
|
VISUAL
colorHash
|
33000e00000 |
|
VISUAL
cropResistant
|
43d2c2f0c4c4d200 |
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 123174 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.