Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB73653C53801A7EA48B87B1E679BF39526DC3C6C717A99EF56CC2760A4BC58CC17290 |
|
CONTENT
ssdeep
|
768:geqD4zMp1mqzY6iRMReRVRiywGM4AGMyEKMpkfMbQXM6OBkMfvMwoeGolmde/yMO:gx1eQy4yUDc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc69a392925a2d2d |
|
VISUAL
aHash
|
fff1919c9fb4f7fe |
|
VISUAL
dHash
|
39c723342c248638 |
|
VISUAL
wHash
|
9df091848794f0fe |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
39c723342c248638,0100000080008000,45412dd3d3916951 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.