Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13182C7B05BCA8E3B2057A1C0C922DB5B37D94389D34B530963F90BB967CDD4DDC2A298 |
|
CONTENT
ssdeep
|
384:q1Un0qhe2PeMam1dXNLdaNs/Az7AzvAz33AzeSAzpAze:YBqhe0eiDXNLdiscvN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cd328d372c4f24 |
|
VISUAL
aHash
|
08ffffffffffc3c3 |
|
VISUAL
dHash
|
339c0c0c1c098e8e |
|
VISUAL
wHash
|
0047c7c7c7c7c3c3 |
|
VISUAL
colorHash
|
07601008000 |
|
VISUAL
cropResistant
|
3b9c0c0c1c098e8e,0000000000000000,c11bf103538f3f57 |
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 5850 techniques to evade detection by security scanners and make reverse engineering more difficult.