Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E639632A24658039097D2D5F1719B1F22828389CB174FA563F857BD7ECACF56E122DC |
|
CONTENT
ssdeep
|
1536:BNrMU5OUbJo+bYtgDuyIuMRbuNuwvOuXuouqRPozX6v7ZqAf+mkR2GRleVO+eH9R:XrMlkwiIwvVeTl9mkR2k8VleH99hG3S/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93346c3279cfc992 |
|
VISUAL
aHash
|
00007c3c0e7c3c3c |
|
VISUAL
dHash
|
ceccd8d8dcd8c8f0 |
|
VISUAL
wHash
|
00423e7e4e7e3e78 |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
ceccd8d8dcd8c8f0,432c8c9d8c8c4d57,2bebc9f92d2d250d |
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)