Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DE37634A2025B3720DBABE2B650FB8F56D583C5F2578605B3F8C2976BCAC64CD553A0 |
|
CONTENT
ssdeep
|
384:6jLzvpR7tfuiaAOLB0FU7MXGIMybALPY0/CZh+FoLfDGACzY0+dVOZ//IgHuQq+j:6DZYAOLBBDI7bUQHKd9nK5CRSLZ5IoC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
939c646f63659a98 |
|
VISUAL
aHash
|
501e1e6c0c08006c |
|
VISUAL
dHash
|
9470b8d9593996d8 |
|
VISUAL
wHash
|
7e3e1e7e0c0c407e |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
9470b8d9593996d8 |
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 6341 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)