Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10921D06550948C7BC643D1E8A7A1A6193296C343CFD3160843E8C76E1FE3E40CF061E8 |
|
CONTENT
ssdeep
|
24:kWD+RlQ6VMDUkN9uENvTHfYFl0aR/vHgiOxmJ:d47sHxB/Yr/3uy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc727233999999 |
|
VISUAL
aHash
|
8018181810000000 |
|
VISUAL
dHash
|
0030b23030000000 |
|
VISUAL
wHash
|
efff3f3f18000000 |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
0030b23030000000 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.