Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AED4F021D4A8083F850B8BF5696B675C16FD12E8EF1064DC8DA894BB97AFC50B213FD4 |
|
CONTENT
ssdeep
|
768:J9Z0LfLPT/r8gz6kL/b/j/TvLzNtJ5t9hxdZPrjLbLTb2F2vL/zPLvjBuYaYG4KR:zZ0ci2JVkwxPFsWfL8k5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f45093955b6fc01e |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
d0948e0374866555 |
|
VISUAL
wHash
|
0840c08092ffffff |
|
VISUAL
colorHash
|
06c00000000 |
|
VISUAL
cropResistant
|
800082a2a2820080,b6b63424b4b43480,98d894b1ad78c087,18e9cb9efe6841c2,64dea6c465754501,d09294840a0774ce |
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 49 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.