Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12712A733A004642E16934992F711730C65A38386DB157BE5F1EEC29A7BC5CAEDD27338 |
|
CONTENT
ssdeep
|
96:LuaWxqEPm77rp/7KoXQ1/eyYCiO8RfW8t1k4r6P1CEM+g0EV5micvxH6P1CmtQ+M:f7ttQ1x/iOK/1k4WPDJEaicJaPZQF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c37334e8d732656 |
|
VISUAL
aHash
|
0101031b1f1fefff |
|
VISUAL
dHash
|
ffefd7b3b3b75b13 |
|
VISUAL
wHash
|
0101011b1b1fffff |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
ffefd7b3b3b75b13 |
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 15 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.