Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B81A4B150002D2E2BAB0FC6B976930DD15BD39DDA8B50182AEF93D68FD7F50CD45229 |
|
CONTENT
ssdeep
|
48:rx8QXXa4GqgGqGkeP75DN7mtURMihqr888G8VofDHg0xgop3nDt3j+bZYVxjIfpV:rFsKkaVJ7muOihW888LoDHZ2q3lyK3nu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eae26aea4aca4aca |
|
VISUAL
aHash
|
fdffffffffffff00 |
|
VISUAL
dHash
|
090c000000000030 |
|
VISUAL
wHash
|
00e3f0f00c0c0f00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
090c000000000000,1008b03010300810 |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer checks balances of popular ERC-20 tokens (USDT, USDC, DAI, etc.) and only proceeds if total value exceeds minimum threshold.