Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4518D307400D6A742A3A9D9A492BF5E3686F34FCD9E401443E982F94FD2DB1BF225B5 |
|
CONTENT
ssdeep
|
48:owPcoJpoqofoFXW16r4MyIdbBeGdbycw2sdT/zAjFETKTT:PPvmayEbBeWbYdT/cjSTK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f655dd8c88336664 |
|
VISUAL
aHash
|
f6f6e6e4f3e7ffff |
|
VISUAL
dHash
|
24260c0814040880 |
|
VISUAL
wHash
|
b6f2e4e8c0c3027f |
|
VISUAL
colorHash
|
07000000e01 |
|
VISUAL
cropResistant
|
24260c0814040880 |
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 107 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.