Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B881C7E416B5A5FD55C38BA8CF325A18BB9EA0BEA6224F4C16F86BEC16C3C50CE44450 |
|
CONTENT
ssdeep
|
48:LupqcgMj5sQIbknRbog6Cwz1G6FLHI3wxDN+BOXYj72Z7y79UzP6ge+ovI2Or:LuVxIInBYxG6q3wiD7YsU76geI2Or |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc33339999cc66 |
|
VISUAL
aHash
|
1818181800000018 |
|
VISUAL
dHash
|
101032320c000030 |
|
VISUAL
wHash
|
1c1c1c1c0c0c3c3c |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
101032320c000030 |
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 24 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.