Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19401F467904366192884437CFFC2E15C11114854D22E4EE85ACB600F05C42FBC8FF55D |
|
CONTENT
ssdeep
|
12:hRwMy7FUOyqPxP83XTqPxTsTa1XzXTqPTWyuIqPt9ThDPxKo7YBCDetYI9DWp:hR/CBV83XGpsTa5XG5uN1lFZv7sCCtq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92eded9293e0ada0 |
|
VISUAL
aHash
|
ff00000c4c0c4c00 |
|
VISUAL
dHash
|
e46d13889899985c |
|
VISUAL
wHash
|
ff0000eececcce0f |
|
VISUAL
colorHash
|
3a000038000 |
|
VISUAL
cropResistant
|
e46d13889899985c,2a32aa2a2a3272cc,2c4788889898985e |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.