Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D2329AD7952F5135FB340E250EF1957B33E241BA80C99B0A114DEA974FC06A903BFDA |
|
CONTENT
ssdeep
|
768:LyWuWPNX8Ulu12pSxHyOzxHRBaW/Sy3sIWj8zZs8LMRZEdDxxULfDEi:y1/yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8fa85c3a3e7a8781 |
|
VISUAL
aHash
|
1f1f3f1f3f3f1f3f |
|
VISUAL
dHash
|
71f3c071e361b170 |
|
VISUAL
wHash
|
171b3f013f131f0e |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
71f3c071e361b170 |
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 696 techniques to evade detection by security scanners and make reverse engineering more difficult.