Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C2231E1D054ED37476282D5B7F57B2B37A2C348CF020A5453F853AB5BCADA0CB125AA |
|
CONTENT
ssdeep
|
96:TkfcgpzDxLSTeEWhUSPRr8v67GTjFw2bwSFFEG8g4w8yXGhFVepXiHFlexXQX/DY:QfcgpzDx2sB8igw2gJhMMi6XrmzEDF8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c94cb63626e303f3 |
|
VISUAL
aHash
|
001838100000ffff |
|
VISUAL
dHash
|
75b2f2f2b16906c0 |
|
VISUAL
wHash
|
80187878003cffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
5c585e5677ded80c,3333a2e9d5d5554a,00000000c000d0d0,55b0b2f2f2d46969 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.