Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7C2202092585923619B84E4EA719BDF3356C382C32307697BF4D27AF6CECB1CD72589 |
|
CONTENT
ssdeep
|
384:PI1xRm6oHmOwcQToGQ+m6pwvLRZ1AZTvq9:PI1PGIvc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c83473d8dc629cd9 |
|
VISUAL
aHash
|
801800181818603c |
|
VISUAL
dHash
|
303030b0b2b2cc70 |
|
VISUAL
wHash
|
d81818183c3c7e7e |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
8000104d4d048088,303030b0b2b2cc70 |
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 261693 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.