Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187E2A771B0506F3F01A396CAB290A76E63F2874BD34B151652FD832D0BE7D50EA2735A |
|
CONTENT
ssdeep
|
768:7sSMfj1KgzEgQsShnnH7sOy2+y9BH4crIe:7FF6W7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c240f932bd6dc6c9 |
|
VISUAL
aHash
|
000070000000ffff |
|
VISUAL
dHash
|
c8ccc4c8dc0cc300 |
|
VISUAL
wHash
|
006470703c0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
c810008058588000,d8ccc4c0c8ccecc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.