Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BA3F223495E2D95D14783D18834371B23EBB6DEDB1A022A82DCC7F49B8BEA4FD13558 |
|
CONTENT
ssdeep
|
1536:E/UIEK5tGT0QfRi0abZ9YpVimIYzHTAriBd0D1GRvRx2BKZqGXszD78KQU8ak48U:Q78ylrX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4673319bc66cc6 |
|
VISUAL
aHash
|
4000383c3c183c00 |
|
VISUAL
dHash
|
9c49607171326910 |
|
VISUAL
wHash
|
40003c3cfdffff00 |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
9c49607171326910 |
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 2820 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.