Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1419309B872326167057304EAB0E6A716B1BDE70BC91B8850F39C91DB7BCDC45AE5638C |
|
CONTENT
ssdeep
|
1536:+/BnUKxGiSfyqGDWaNteusyhP4mZ0+lvTQxQ2:+/BnUKxGiSqqGDWaNteusyhP4mZpT2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
897d075612772979 |
|
VISUAL
aHash
|
00fbcbdfdf7f7f3f |
|
VISUAL
dHash
|
25121212bdd0c0d0 |
|
VISUAL
wHash
|
00c0c3c3477f3f1f |
|
VISUAL
colorHash
|
06000000078 |
|
VISUAL
cropResistant
|
221212bdb4c2d0d0,01001b23271bc001,669f4fb3990f5b06 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)