Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DA1533239045D233047EAF57566B6AD7AAAD017C5335B1086FD43CE46C1FEACB7A106 |
|
CONTENT
ssdeep
|
96:nerbntEwLnscutoNk7JRukBVHsLzb9WLXa4V8zaZ7roe9UpFJ/xse3j:erbnt7nscCo21R9B9Yzb9GXa4VcaZ7rC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88f3f3c2f2c9c8a2 |
|
VISUAL
aHash
|
ff00181818181800 |
|
VISUAL
dHash
|
49f7b2b2b3b2b3cf |
|
VISUAL
wHash
|
ff011b1b1f1f1f00 |
|
VISUAL
colorHash
|
01007000000 |
|
VISUAL
cropResistant
|
711048481c4c1024,ab2a5cc031150c8e,cfb3b2b2b2b2f3fb |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.