Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167E202783210677F40CBD7B5B6A4AB5AA2C8C75CCB179686B3E9C25A1FC7C43CD412A4 |
|
CONTENT
ssdeep
|
768:HiQeqrM3jFtwnNd470OTD755Qzrfe0TcATNDRtq4Iq+rgRKXPUhe/1Cg:OFKn4HY86JIUQXkwR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b343ccca1bc3ce4a |
|
VISUAL
aHash
|
fd0200400ff7ffdf |
|
VISUAL
dHash
|
699e8e5fda0c0c26 |
|
VISUAL
wHash
|
fd00000307e7ffdb |
|
VISUAL
colorHash
|
07000208018 |
|
VISUAL
cropResistant
|
699e8e5fda0c0c26 |
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 40 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.