Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D6396302846A72A2AD775D0A720DBD0EBB9F300C32BC75873B8D14A76D9D86F91B574 |
|
CONTENT
ssdeep
|
1536:iHLx31RRhFyVjvL7rNXCuaEKqDqrEMqNPR1Y0h0SWG84wusA+6e9RZFh33WG84w7:iHLo4wFb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e853c29e166eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
a8d181321432230c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
61969096d7d49094,242565642ae2d3d3,6d6cd7f3c8ea7606,38789d9c8c8c8d8f,82808a8e9692e882,14003b3c23370c0e,c8a2f1d180231394 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)