Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2A143B14100589F46A2BECCB9D3BD4CD0F7D0E6C644148CA6EA1C4D59D6FB0A1AFA75 |
|
CONTENT
ssdeep
|
96:RFsuZL8UcXqtFdVt7fxWKzGcWgzZN2pbE7ejohC:BLncMGpbEG2C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e00e1f1e1fe01e1f |
|
VISUAL
aHash
|
00e0e0e0e0e0e000 |
|
VISUAL
dHash
|
8090909090909080 |
|
VISUAL
wHash
|
00e0e0e0e0e0e000 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
8c8eb280b2b2808e,8090909090909080 |
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 300 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.