Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FC2DB634540220C424585F675F0EF6AF28E5382DB035FA297ADAF7EBFC45E66E2205C |
|
CONTENT
ssdeep
|
384:aG5IaPo+Shobo6+SkObQuo7o6nyzU5fr/IkQsgdT2Wb8U8sEtEWTsGHt1CRHoPY+:/5I140FSkmUUU5Tgb9KPssqHy8Sl7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce8e649bcf643132 |
|
VISUAL
aHash
|
183c003c3c3c0000 |
|
VISUAL
dHash
|
7061687169797060 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
30000418000 |
|
VISUAL
cropResistant
|
42314a4a4e4e3142,4b8c8e85e46c6d4a,7061687169797060 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.