Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9C1EE795120503682536CDBB472134E61CED21FCD0BBCA4ABA8C3C75ADBEE5590BB1B |
|
CONTENT
ssdeep
|
96:T0JpmKPRC8JwQJSViuOVkhFU3XWIlMfgS9S/ddECYywFRVNQQ6z:IrRC8JwJVl6kh+3XvOZsh4Js |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e30d0d5acb5e27 |
|
VISUAL
aHash
|
27676765273f1717 |
|
VISUAL
dHash
|
dececdcdcef6e767 |
|
VISUAL
wHash
|
26276764273f1713 |
|
VISUAL
colorHash
|
100000001d0 |
|
VISUAL
cropResistant
|
fffffffefefcf1e2,dececdcdcef6e767 |
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 180 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.