Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177630BB0A244B236629383D6D777276A33E0C1ADCB560158D2F8D3BCDBC5CE5DC26698 |
|
CONTENT
ssdeep
|
768:9k7/VCMvryCxbuH2pmH1zY7ioFxpnW/Oc25zwVzNVSo:EtxRuH2pmH1c7ioF/31dwhNVSo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b35ccd4349cf434 |
|
VISUAL
aHash
|
de81008081bdbddb |
|
VISUAL
dHash
|
b65919491f617117 |
|
VISUAL
wHash
|
42e180a181bdbdff |
|
VISUAL
colorHash
|
30180000000 |
|
VISUAL
cropResistant
|
b65919491f617117 |
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 244916 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.