Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8028D304815EA3702A388D5F1A5871FB6C2833DCD6B093973F863D91BDBE81ED16655 |
|
CONTENT
ssdeep
|
192:NL/dJU+UGUEYsGmFnBhoTPSBhIUG8NYN8NYq:Z/0xJEYenBhoTqBhIeY6Yq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd19663326d88f78 |
|
VISUAL
aHash
|
001818180049db36 |
|
VISUAL
dHash
|
cc3232b2939bb2e4 |
|
VISUAL
wHash
|
001898dac1dffb3e |
|
VISUAL
colorHash
|
30000240009 |
|
VISUAL
cropResistant
|
8cccf0f8e6e67151,cc3232b2939bb2e4 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.