Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132A32271219216BB121F49F03561BB6BF18AD30DDBABC905636C43873BCBC568DA91EC |
|
CONTENT
ssdeep
|
768:xpdKoc5I6CzKhDhroY+kC/Q8t21w1pHAM5MpzRJFtSonom7mIWs3bWhWkGWI1IVG:PQbqTjC7WI1IVvuZG8Bu3/Te |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c02aa0ebaeabaeaa |
|
VISUAL
aHash
|
e1406c607c7c787e |
|
VISUAL
dHash
|
838c98c0c0c0d0c4 |
|
VISUAL
wHash
|
c1647c407c7c787e |
|
VISUAL
colorHash
|
32200038000 |
|
VISUAL
cropResistant
|
838c98c0c0c0d0c4 |
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 1353 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.