Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F293236059F19E3B88EEEBCE5A2277B7AAA55202CD0A5F0301F443C89FC5ED5C917903 |
|
CONTENT
ssdeep
|
768:cF/IvVslXoOq/IsYoLn9AfRFcsj3W0sjFxJEt4:cF/IvVslXoOq/IsYoL9AS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1c5d674cc3067cc |
|
VISUAL
aHash
|
7ef3c3cff3c3c7ff |
|
VISUAL
dHash
|
d0869694568e9c30 |
|
VISUAL
wHash
|
7ac1c3c3c3c3838f |
|
VISUAL
colorHash
|
07001240018 |
|
VISUAL
cropResistant
|
d0869694568e9c30 |
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 5407 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.