Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126F21F309000943B46A793C16A7A671BB3E3D30ECA130B0667FC836D5FDBE15DD2AA65 |
|
CONTENT
ssdeep
|
768:UxRSuvZpSSIFbuwSSkc/18PQUQ/AycyQTso:UxRSuvZpSSIFbuwSSL/1rUQ/APl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca4525b25339da3d |
|
VISUAL
aHash
|
e0f0f8f8fcfdffff |
|
VISUAL
dHash
|
a4e632332915aa2a |
|
VISUAL
wHash
|
e0f0c0c898fcc3fb |
|
VISUAL
colorHash
|
07002400080 |
|
VISUAL
cropResistant
|
a4e632332915aa2a,5559199b8ac7a3d3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.