Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C1384744400A93F076BE2C999756F2F37EAC2A8E91B0701CAAD43F947EEE90DD43851 |
|
CONTENT
ssdeep
|
768:YI+z+GHeFmzV2QmhG4gZYmGzUINiw2BaugdFmzK2QLzzNRzORm2Bpngdtp6kKbAc:YveuerCq1Mm8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccd3327cccc8999 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
734ab2b2b2b24c30 |
|
VISUAL
wHash
|
bb78387838180000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
bab086868e8e9696,734ab2b2b2b24c30 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.