Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EB2C6315041793312A792D8DA72AB6E73D2838ACB330B45B3F4836E5BEBC85DC67549 |
|
CONTENT
ssdeep
|
384:x0kT/8T/UgN3nZQbTT/j6FiTdJiqVwegeLrRp8pf69s:x04/A/36/OS9aegeLtpCas |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ef4e2b688cd2692 |
|
VISUAL
aHash
|
7e0400181c063c3d |
|
VISUAL
dHash
|
d4644c33394c50d5 |
|
VISUAL
wHash
|
ff14061d1c073e3d |
|
VISUAL
colorHash
|
30240010080 |
|
VISUAL
cropResistant
|
d4644c33394c50d5 |
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 69 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.