Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151B158E2C508CD36031286D6FBB52B5FEAD1C359CB02098463FC437B97DBC60C956699 |
|
CONTENT
ssdeep
|
48:TXJ+CtlT8C9+BpgYPGCcfwcPwchwlamDmmbnkbnkUbnk7bnklyzVJhyh7sWxz+Kw:TkJ79oh4lzH0XfeG9Sdt7Xv/92FjQPJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b736161d1d1d1d15 |
|
VISUAL
aHash
|
00e7e7ffffffffff |
|
VISUAL
dHash
|
cc0c4c0810080000 |
|
VISUAL
wHash
|
00e7e7ffff0f0000 |
|
VISUAL
colorHash
|
07000010007 |
|
VISUAL
cropResistant
|
4d0d4d0800080000,f0f0f0f4f4f0f0f0,61b0b4b522cedc2d |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.