Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183E2C6319109793F1A9BB3D0E771B35AA38682CEE943171642FD878D0BDFD90EE06586 |
|
CONTENT
ssdeep
|
384:7bt6IIKWw9mIIIII9olBrmISUNuBQSii8sm3V9c6KpGOgrUIqmvuOpW:sIIHIIIIIO2BQV9c6UKRU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3791c1c3963c6 |
|
VISUAL
aHash
|
00e1e7ff7f181810 |
|
VISUAL
dHash
|
97cfcbf3e5f3f0e0 |
|
VISUAL
wHash
|
00e1ffff7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d988c8c,0000616961000000,97cfcbf3e5f3f0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)