Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187749DF23110D1760FE77981B4563E12B9B2999FEA8F394496FC0AAC4FD5EA8C4E4350 |
|
CONTENT
ssdeep
|
1536:PpNcNb5F5P5XNqjdeNLVVXwvuU5124ke0e3aoGepR7oebLCBXxu8zvsEfghjplai:VwEtd1pe6yqxtIdEzb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95b56d689692a54d |
|
VISUAL
aHash
|
0240667e1c000023 |
|
VISUAL
dHash
|
d68eccccf486c4ce |
|
VISUAL
wHash
|
02426e7e7e403c7f |
|
VISUAL
colorHash
|
38006000080 |
|
VISUAL
cropResistant
|
9b529e966dcdd0d9,d68eccccf486c4ce |
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 212 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.