Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BE1646B5142E81E16F2C1BCEFA0771CDE939686C3435D4891F48B6EAEC1FA1C40136E |
|
CONTENT
ssdeep
|
96:HlZePzfCvqYIsJEBsBI3d/YI6cZqJJMVEIC18tgF1vT4IysMLVD6IvoxVhFv1od8:HlGqigGd//ZVe18ty1bGLV2Hxi8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33399cc6666cc98 |
|
VISUAL
aHash
|
e7e7e7c3e7ffffff |
|
VISUAL
dHash
|
0c0c4c4d0c000800 |
|
VISUAL
wHash
|
c0c0c0c0033f3f3f |
|
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)