Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131732024B10046FF59A7C9E0F0A0BF2971DAF34AC76BC959A7AC50A16FCECB079115B1 |
|
CONTENT
ssdeep
|
768:SDH5b1b55bNbNb4bBYddPOChVx7KVRrkF/9/b/U/r/4/ptF/V/zrA80/CwTHyMc+:q5Z15xhMl+POQVxQNCwIq2s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
842a3b3acbeaaa3a |
|
VISUAL
aHash
|
0102067636160662 |
|
VISUAL
dHash
|
931c94c4e4e40cc2 |
|
VISUAL
wHash
|
4106067e7e7e067e |
|
VISUAL
colorHash
|
38042001000 |
|
VISUAL
cropResistant
|
931c94c4e4e40cc2 |
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 57 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)