Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1241E607D03A825309F06CF522B161D71D1DBC9E6636AD5B9F0E3289AF9C95FFE2240 |
|
CONTENT
ssdeep
|
1536:BT18G4qT1Uhs2RX4w6CHO3IUE+UfN/4LSZwgRcbsh4F6IcQfpm6n3LCyZernbQsQ:BGNo4yUNhW6WAbBEj9QmhIx7K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9702b5a859bbd346 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
dde6ccf8e022181c |
|
VISUAL
wHash
|
0032340810ffffff |
|
VISUAL
colorHash
|
1e007000040 |
|
VISUAL
cropResistant
|
28032a98001a1a2c,dc9ae6e4d8f8e020 |
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 328 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.