Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116E238B49230D335B1824BE8DA6424687A5FE1DCD7C695B4F388AF51B0D6CECD9150CB |
|
CONTENT
ssdeep
|
384:Y7fUWeguxznEFcRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3As8uRWEMd:Y7fUWegudnphhPhleMeDGCSPxeeWmHpW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3bfc17e3238b08 |
|
VISUAL
aHash
|
001010707070f0f9 |
|
VISUAL
dHash
|
e4b457c1e1e5a4a5 |
|
VISUAL
wHash
|
78163070f0f0f0ff |
|
VISUAL
colorHash
|
10001000600 |
|
VISUAL
cropResistant
|
fec31bec24000000,f8f8d8e9c9c9b8b8,f6d6c6e6c4cece94,e4b457c1e1e5a4a5 |
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 70 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.