Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF13E93121443B3EAA1BCB98F3F4B325532EE298C52F815DF5EE11762BD2D54D923688 |
|
CONTENT
ssdeep
|
768:d+Upb0UYY8XfYUKFjlEbEQEPEVjYmY7jYfUYNYmDDYcdsUeUm2Yh214LOZAWqxBf:BKJ7tV0Bf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d95613764351717 |
|
VISUAL
aHash
|
ffff3e1a1c040000 |
|
VISUAL
dHash
|
d6f178b6b0792932 |
|
VISUAL
wHash
|
ffffff1e0c040010 |
|
VISUAL
colorHash
|
38000600030 |
|
VISUAL
cropResistant
|
d6f178b6b0792932 |
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 946 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.