Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135C2A7EE0F2009A1AECA83D57D2555DCBB47F4BDD6C6861CC9788FD6668297C8B42CC0 |
|
CONTENT
ssdeep
|
768:fpYvhzwj+Tr8elxA5JpEMdlQ8qbA2rYgcaeHX1UXoMZ:UGDeazqbA2rYgcaeHX1UXoMZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c67c7978383838 |
|
VISUAL
aHash
|
bc3c3c3c3c000000 |
|
VISUAL
dHash
|
6868686060400000 |
|
VISUAL
wHash
|
bc7e7e7c7c3c0000 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
6868686060400000 |
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.