Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8526133B600CC2A8D9B558CF2C09589525ED349FB3248CAA1A491FF7BC4DF069997AD |
|
CONTENT
ssdeep
|
192:Px3JIYcGcCDDCdZz+I/W1ilxx0q41McnthWeNWbUfMmUU8VCoA:7cGcCDDCnz+I/WUb4hfMmUFCoA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3c4c63625c3c3b |
|
VISUAL
aHash
|
00ff8fdfefffffff |
|
VISUAL
dHash
|
21303c3808080000 |
|
VISUAL
wHash
|
0007070727273f3e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
5a383c2848080000,01012121212121c1 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)