Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F51FE22A8E2813F123386E7F9752B25B2C3914DFB433510EAAC47BD0BD9D60BE85446 |
|
CONTENT
ssdeep
|
24:hR056tCPpXoGasoO5qWCgCTYNlrmu2eE8SCWGB6aIQnUpGvg/KEJl/WXplKSa:T3EpXIO5qWmYNll2eTFWGBHITQ4hvWXe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
868787898d8dadad |
|
VISUAL
aHash
|
ff24000000000000 |
|
VISUAL
dHash
|
e869000000000008 |
|
VISUAL
wHash
|
fffcc0c030302c24 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
e869000000000008 |
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 52 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.