Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104639632A25659039097D2D4F1619B1F22868389C7174FA263F857BE7ECACF56E123CC |
|
CONTENT
ssdeep
|
1536:hk8POUbJo+auAtIuHRbuousuXuouaRPozX25Zkf+mkR2GRleVO+eH99hGbzSGc+3:28TOxiT3eTYmkR2k8VleH99hG3SGPuBC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93246c324dcfc99e |
|
VISUAL
aHash
|
00007c7e0e6c3c3c |
|
VISUAL
dHash
|
ceccd8d8dcd8d8d0 |
|
VISUAL
wHash
|
00423e7e4e6e7e78 |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
ceccd8d8dcd8d8d0,432c8c9d8c8c4d57,2bebc9f92d2d250d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)