Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127E253B31400593F031367CAF426BB5DD093830FCEA658A4A2AD8B475FD6EE5C52DC2A |
|
CONTENT
ssdeep
|
768:d8vghtQIYS35c79jazwzJo4prjLj/JFAFXnfk82eIuCx0KZBJBEtBEdm3:d8vghtQIYS35c79jazwzJo4prjLj/JF+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93466d936c939356 |
|
VISUAL
aHash
|
00000e0e0e0e0f01 |
|
VISUAL
dHash
|
4218dc5858585803 |
|
VISUAL
wHash
|
c30e7e2e2e2f0f03 |
|
VISUAL
colorHash
|
31080007000 |
|
VISUAL
cropResistant
|
4c6e43091e000080,4218dc5858585803 |
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 873 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.