Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D53863493910A7F20970AE8F991F33DD1DEC34EEA57E51DB6BC92A213CAC99CD16640 |
|
CONTENT
ssdeep
|
768:r+b7KR1noUWgYD8TEZKUxYaO5U5+D5u5hlv6afg6EvTUg7r1Hrdv3KI+agiaPaH5:u8AI4Xg9LRo0nNUIlHvkPuo5gv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc65268bcc99998b |
|
VISUAL
aHash
|
c3c3c3c3ffffffc3 |
|
VISUAL
dHash
|
96869696b0305896 |
|
VISUAL
wHash
|
c3c3c3c3dcdcccc0 |
|
VISUAL
colorHash
|
0e000400018 |
|
VISUAL
cropResistant
|
809eb62b3333aaec,96869696b0305896 |
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 1484 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.