Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9621B32240229B792177A45BE7A5B1C23B3924CDF93C188B7F4876157F7EB88C3A455 |
|
CONTENT
ssdeep
|
384:C0MUwwOqda3MV8+Rg24uNNNNNDmEWJGRiRlkMsvEtutOVVVs2Fs9eU5BBNp:C4wwB74uNNNNNDmEPRiRlkMsvEtutR2S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a760d49d919fe01d |
|
VISUAL
aHash
|
7ec3c3271fff1fff |
|
VISUAL
dHash
|
e80f964df1c16040 |
|
VISUAL
wHash
|
7e818101017f1fff |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
e80f964df1c16040 |
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 1932 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.