Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8927271E004667B02A312E5B14A631838D27A5FDA677120EAEC4388F7CED2DBD27D53 |
|
CONTENT
ssdeep
|
192:jNKpyTb78TXsxGTb/h3TESu128Ti/58leP83971+8SZSQhjuFE/UjwpWigJ+Jfhy:g6Khr608lYO971ORIDcZ00mXk0UtY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8afcaaf093e498a6 |
|
VISUAL
aHash
|
ff00183c3c3c3c3d |
|
VISUAL
dHash
|
d070f0f0c8f0e8e9 |
|
VISUAL
wHash
|
ff18183c3c3c3c3c |
|
VISUAL
colorHash
|
30006010000 |
|
VISUAL
cropResistant
|
a25d45a6e6eac696,d070f0f0c8f0e8e9 |
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 465 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.