Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D8252F39750369D472042886A2336A9C94F9C5DE3DE4DB5A22D8A4E52807F4C07FF7A |
|
CONTENT
ssdeep
|
384:hkzkDqv6hIzBQ/u5XDsZR2TuMHnOzbvvzkmVc+FPV:6u+DzugT02ZAbvv4mjPV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c3c7c7c73838 |
|
VISUAL
aHash
|
ffcf8fe3c3dfdfc3 |
|
VISUAL
dHash
|
46323626163e161e |
|
VISUAL
wHash
|
c38f8f83c3c3c383 |
|
VISUAL
colorHash
|
07206040000 |
|
VISUAL
cropResistant
|
46323626163e161e,0f4f0fe7e70f7f1f |
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)