Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169D3A4B1638105AF94C7C2E4FB66AF6ED2ADC287C66388C9F3E8C2569B82C14DD45750 |
|
CONTENT
ssdeep
|
768:E9zQyhqOyXmDLOjCLxUZxsZJbEkPAO8Gf6WUTd05djOma4Z7viJBJBse+fZHzaDk:HOYmDLOjC9HQkPAO8Gyph0fCpVoW8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7003e387fc4e7c1 |
|
VISUAL
aHash
|
00087c646e0fffbf |
|
VISUAL
dHash
|
a4d8c8c8d829b075 |
|
VISUAL
wHash
|
0008706c6e0fffbf |
|
VISUAL
colorHash
|
10007000000 |
|
VISUAL
cropResistant
|
a4d8c8c8d829b075 |
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 113 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.