Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133D2D73112082E3DA5178BB5F2717378926ED34DEA1F996AF4EC02B177C7C92C923694 |
|
CONTENT
ssdeep
|
768:6/uDVJRnTjLdVJRnTjLmGbiiG1iGPXSDz03ZEv1bpC6:BVJRnTjLdVJRnTjLm0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dbd9193466667431 |
|
VISUAL
aHash
|
f0fcf8f0c0c88000 |
|
VISUAL
dHash
|
04182a6010180818 |
|
VISUAL
wHash
|
fcfcf8f8e8cc8008 |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
04182a6010180818 |
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 24 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.