Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E02D7B58205A92B621783E2D3793A35B4F0058AF75A2624F7FDD39DA6C8C449F331D4 |
|
CONTENT
ssdeep
|
192:ExlUp8qBcpM1bbgTZ/jPXtLNgg8tyzZPKlijrZ27V3PCJxx4PNt:iUp8qSpM1HgTZ/jPRNgg8tsZPYijrZ2L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333992972993333 |
|
VISUAL
aHash
|
ffe7e7e7c3e7ffff |
|
VISUAL
dHash
|
1a0f0f0f4d0f0b04 |
|
VISUAL
wHash
|
efc383818181c3ff |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
1a0f0f0f4d0f0b04 |
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 9 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.