Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1521CB5B21816B48A0343C7EE3123EEF11340FD96121BDCE768C658B2959FE8971DC6 |
|
CONTENT
ssdeep
|
192:QofoB6CJ54t94aps8y2EYku9cuGRmKbMpBXp7sfgg8gk:QGoChs8PwsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f52a55aa55aad5a0 |
|
VISUAL
aHash
|
c100e7e7c3e7e7e6 |
|
VISUAL
dHash
|
4d0b0e8e0e0e0f0e |
|
VISUAL
wHash
|
c100e7c3e3c3e7c6 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
4d0b0e8e0e0e0f0e |
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.