Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE912F54254D5852C533C9E3AC217A48B38FF70FED155920B9AE01F84FDEEE9F44A1A2 |
|
CONTENT
ssdeep
|
48:TGpLurWIQWIdWItWIadQiKG6g4unRqzMl/tVw7WM7fGp0LEQzfo1LAFpzbj8PST4:TGceCti7WM7u5QU1LAzzP8PSTa349g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b399cc66cccc2699 |
|
VISUAL
aHash
|
ffe7efffe7e7ffe7 |
|
VISUAL
dHash
|
2828182a4c4d3208 |
|
VISUAL
wHash
|
18e4ecfcd8c0d8d8 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
2828182a4c4d3208 |
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 5 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.
Pages with identical visual appearance (based on perceptual hash)