Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C31AA7671088C73159283E45BB22B0F37C1D299CB434A4152F4837E5ECBE52DD269BE |
|
CONTENT
ssdeep
|
24:hRfOiih9UK/U54Y+RmD+UoN9H29WkV2JHSX9TsM6bOzqfAxJegx+:TmC54YxsHGVsE9T76bORGgx+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ab5334059b33ccec |
|
VISUAL
aHash
|
0f031f1d3f13070f |
|
VISUAL
dHash
|
7fef2be9eb679fff |
|
VISUAL
wHash
|
0f07171f3f07070f |
|
VISUAL
colorHash
|
11000000190 |
|
VISUAL
cropResistant
|
7fef2be9eb679fff |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)