Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B52D77322181B3D5157C7A9FB22B3A4924ED29FE22BC634E67D13A047C3CC5E923690 |
|
CONTENT
ssdeep
|
192:t3IbOtZdkHwA3ljO2z7sV0jywAcQSyUZxBcFL/W:VIb2+wExl2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7943638a33cc6c7 |
|
VISUAL
aHash
|
06607070681c0070 |
|
VISUAL
dHash
|
54cbe4c4c0f004c9 |
|
VISUAL
wHash
|
667078707e7e5071 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
54cbe4c4c0f004c9 |
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 12 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.