Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CD1976E5042F81F1AB1C5B8FAA1B70CDD838A86D2434E4991F48F6EBAC1FD1D90125F |
|
CONTENT
ssdeep
|
96:HyAPz8Cvq4rBs0Ju4b9pJyR3B8uTYw6IvoxVhFv1odg:H9Zi4O0Ju43JyQ0YdHxig |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33399cc6466cccc |
|
VISUAL
aHash
|
e7e7c7c3e7ffffff |
|
VISUAL
dHash
|
0c0c4c4d0c000800 |
|
VISUAL
wHash
|
c0c0c0c0003c3c3c |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
0c0c4c4d0c000800 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)