Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B051532060123F3B8696C1D5F6D96B1339C3814BCBAB290543FC57E90BDDC45D92E264 |
|
CONTENT
ssdeep
|
48:6wcIGHcMT3fFhWbEt3Y9HehpP3mWyu3EWOl8:6wDGHvTjW4t37jUf8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8859766699d9cccc |
|
VISUAL
aHash
|
0000181818190903 |
|
VISUAL
dHash
|
fff3b3b2b3b3f3ff |
|
VISUAL
wHash
|
01031f1f1f1f0f1f |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
a88e96bae8b03186,fff3b3b2b3b3f3ff |
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 8 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.