Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B71327C42502E3FD2074ECB7DE1B75E21C28215C9A76088F6BC4AAB47E6E508B16B57 |
|
CONTENT
ssdeep
|
96:TS5TEbbW9Y2yYaytOn2YbTyAQ6y9JwJrlKJY:WiM7YXbfwJfY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c46e6ac995b5644b |
|
VISUAL
aHash
|
f0f0f0f6f0f0f2f6 |
|
VISUAL
dHash
|
2525242400222a2c |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
0fc00008000 |
|
VISUAL
cropResistant
|
0202060c32120002,3c6ae3e6f0f2b29a,f4fc82a6868ecee4,733361f8a48cccc8,21a5e5a4a6a49b5e,e11331535b725b7e,e103389b9b980b3e |
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 28 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.