Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF3165F7718C211F1332A3CC185A73E9F5AB612E5B952F14A4A4049AB891A16CE309DF |
|
CONTENT
ssdeep
|
24:hR0j3N/yN/t7ZhSZFavEdB9hdHvyPeCRkPluIT7SqVPFv4UF8Ko4a:TMNaNHhIFavEdB9hdHvoeCePdHHAc8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8cc3353cf2c3696 |
|
VISUAL
aHash
|
00fffffbff000000 |
|
VISUAL
dHash
|
3953f5e3e36b0029 |
|
VISUAL
wHash
|
00ffffffff000000 |
|
VISUAL
colorHash
|
19007000000 |
|
VISUAL
cropResistant
|
4e6cede9b97872b2,3efac21ca8d0c165,7ce40e9e8a9ed0c1,0c3ab696ded8cb8e,c4c6f2a8f4b4b270,3953f5e3e36b0029 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.