Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AD55CD2B24378260BAB81F5C4BF641EA37B140D990AC450F9D5C99D2BAF9861123F7F |
|
CONTENT
ssdeep
|
49152:hEKdSeKSU4twlOUewColITBJ2Gi2AcwhW6lTZ5QX:CJG8XlTY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96b6b696943c9585 |
|
VISUAL
aHash
|
3fbfa8007e000000 |
|
VISUAL
dHash
|
6d6d59b1d4d43100 |
|
VISUAL
wHash
|
ffffbdd47e000000 |
|
VISUAL
colorHash
|
30201000180 |
|
VISUAL
cropResistant
|
ec949636369f9686,08304c4c4c300000,08304c4c4c0c1000,08304c4c4c081000,6d6d59b1d4d43100 |
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 1100 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.