Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFB1103154989CBB5182D2D46FBCA60A12ACC760C7420EA5E6F8E39D1ECFE55CCA1399 |
|
CONTENT
ssdeep
|
96:mRyL48cM5v+PmkWLWQw/YfpwWp7EY86cZnUvNWQ4:uyL48ckGmfBEbnCYQ4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e56d9a9263cc9a23 |
|
VISUAL
aHash
|
c3c3f3e3e3ffffff |
|
VISUAL
dHash
|
161616460e160004 |
|
VISUAL
wHash
|
8181c1e1c183dfff |
|
VISUAL
colorHash
|
07000007000 |
|
VISUAL
cropResistant
|
161616460e160004,0000000000000000,44091b139b2c1f9f |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)