Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157F14268D3586336CC17C3F89638A5B8358B82DED9D2D28892B447F07BD2DE4961DCC1 |
|
CONTENT
ssdeep
|
192:nYQGGZZbzcV3iJa+TtOE0Lqnizy/HJHbHoHoRH9HJHFHoQHmH5H9HdHEHRJHoHNO:TbzcV3iZRlAUIQnd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f5782a55d58a82d5 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
112b9200a0000000 |
|
VISUAL
wHash
|
00000001feffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
d4c1808000000000,1b5331383a0b0b36 |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)