Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BA3A560135C18FD201BE7C9E908BF0AF48655BEFF1A52C666E4A47E78D9CB4C53224E |
|
CONTENT
ssdeep
|
3072:oZnbbemlUcug/t+1qBRdjuhEZ6Of5FhPZaOfRCrhKZ/OfCvhlZYOfdahoZFOfhkt:oZnbbemlUcug/t0qdjuhEZ6Of5FhPZa8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc9362c66d933869 |
|
VISUAL
aHash
|
ffff8fcbf39fc781 |
|
VISUAL
dHash
|
2b343a1636362f2f |
|
VISUAL
wHash
|
9d8f8b83839fc381 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
2b343a1636362f2f,0000b68e90a80400,f0f0f0f1e1d1d470,45010db1b1250105,f1f1e19da9cdd4e9,6070704c2a4cb2b8,f0e8708caaccccc8,e1f1f18dabcde8e8 |
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 996 techniques to evade detection by security scanners and make reverse engineering more difficult.