Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDD21AF2F820187E51270BECF676A788A953F219DAC01280B1E856AC17E3DF36947735 |
|
CONTENT
ssdeep
|
768:+R+EsZx8/G8d92ojkRs0DV+7FMZBqo+7sMZBqffMZBqbE:+R+EsZ/8dLeBDV+7FMZBX+7sMZBofMZP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b331cccc3333cccc |
|
VISUAL
aHash
|
c7cfefc7ffefffff |
|
VISUAL
dHash
|
1818180800180800 |
|
VISUAL
wHash
|
00c70707f0c0f0f0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
1818180800180800 |
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 318 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)