Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD626521E510959F0277C7CCF500EF4865AFB20FD58989B8F6BC06A46FD7CB8B9261A4 |
|
CONTENT
ssdeep
|
192:mYgwaFwlASOZFQVOZFQ2JVBtP/WTM5UnWflomNWTM5UnWflvdNWTM5UnWflqyNWS:/mt3DYVxTyVLoePW3Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6cc66666666664c |
|
VISUAL
aHash
|
e3ffffffffe7e7c3 |
|
VISUAL
dHash
|
4d300c28044d0c4d |
|
VISUAL
wHash
|
00102c3ce7e7c3c3 |
|
VISUAL
colorHash
|
07000010c00 |
|
VISUAL
cropResistant
|
4d300c28044d0c4d,614e860e09c64601,ecc88acccc8ac871 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.