Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17133D7B317491EFE10C783E0B722773673A863E9E56F820682F847655B8BD4ADC63560 |
|
CONTENT
ssdeep
|
384:+rhbSgbnziNBXELiy/Y+nPacLzmC4mGHXISBhq8t8DDOmQpvqYtZ:sbbnzsZELk+Cuz63HX38umQpiQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce9234743696973c |
|
VISUAL
aHash
|
76383c3c38383800 |
|
VISUAL
dHash
|
c4f169e9e0e0e0e0 |
|
VISUAL
wHash
|
7e787c7c787c3800 |
|
VISUAL
colorHash
|
38001600080 |
|
VISUAL
cropResistant
|
c4f169e9e0e0e0e0 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.