Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5A396B25251683360BBA6D9F125671AA3C3C74FC68287D2E2F8D35B1EC6C91FC1345A |
|
CONTENT
ssdeep
|
1536:d1CXWnErYgguOpuOCuOhS6cSFUtJn1IduMi8cQO9:PCXWPgguOpuOCuO0gUtJn1IduM7cQO9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b41267519c9cecc7 |
|
VISUAL
aHash
|
0000ffdfcfc3ffc3 |
|
VISUAL
dHash
|
e8c82e349e962e06 |
|
VISUAL
wHash
|
0000d7dfc3c3dfc3 |
|
VISUAL
colorHash
|
07201008040 |
|
VISUAL
cropResistant
|
e8c82e349e962e06 |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.