Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E233A726332B8B843DB91EEF7382956B2D2988DF9C74550B5C95ACE13C3C806197BB4 |
|
CONTENT
ssdeep
|
768:as+EsZx8/G8zn4uDawSMIBfwKMIBdUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvt6:as+EsZ/8z4uDawSMIBfwKMIBdUXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3339c9c191cdc6e |
|
VISUAL
aHash
|
0f2f616f6fffffff |
|
VISUAL
dHash
|
58dbcbd9da000000 |
|
VISUAL
wHash
|
0f00200023ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
58dbcbd9da000000,61d0d8d8c4d4d4d0 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)