Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195D320A13D636832606F31DF9117270DA2C2C7CADA626BE5A5F0D3289BB4D80BFD3554 |
|
CONTENT
ssdeep
|
1536:tGEhyLcLbBbtXcruwYhoP//9MQrVgiOvDyWRuOsdtus2tu4bee:5wFYvDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f647b40298cb55cb |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
5c64464545c61c3c |
|
VISUAL
wHash
|
04a1fbe10002ffff |
|
VISUAL
colorHash
|
32e00008000 |
|
VISUAL
cropResistant
|
9010401c11363e3c,dc6446464551c65e |
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 199 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.