Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E823D72B61623719E0743DEEE6613EFE30650ECEB6567C8E166826C71884DD8D31EC2 |
|
CONTENT
ssdeep
|
384:Q7oCoFl2srYBPyOqvT7dOAZJSsmMpBZ7eg/B:6oFFloqrZ1pm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f72a552a55aad582 |
|
VISUAL
aHash
|
8100f7e7ffe7e7e6 |
|
VISUAL
dHash
|
5b4d4c4d0e074d8e |
|
VISUAL
wHash
|
8000ff87e383e7e6 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
5b4d4c4d0e074d8e |
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 490 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.