Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105F329ED1320AEED158783F5BF24A2E8A34AE25ECB520D45D2FCC75925C1CBCEE19185 |
|
CONTENT
ssdeep
|
1536:ubPuOqLNSje0P2pNNOFD3OF0sd5I8SzGVuNyF1bj/RjPAFujH6Hkv8ZBm5I8SzGZ:PMXk3cw/Lf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d2696c9c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6507ccdccccc178c |
|
VISUAL
wHash
|
81817f7f7e7e0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6507ccdccccc178c,25a362c5a72726ac,2879365054242a29,4541057969690145,4141714d4d714901 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)