Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1054342B16046593F8597D2C9BB749B0EE1C7930BCA221D4AB7F2834A9FC2D54FC1A624 |
|
CONTENT
ssdeep
|
768:PxZ8flZ8ftH5IBUTtDXwydLrgpvAjZ7viJBJBse+fZHzaDbcduhsty0gKIBKen8L:XHpXPGhN8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec1303db891b99 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
2325372727c8c445 |
|
VISUAL
wHash
|
fff3fbf3f1000000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
2be53537372725c3,2f2b2f0f3f3f7f35,20cac8c4c2e44453 |
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 104 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.
Pages with identical visual appearance (based on perceptual hash)