Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8D23E305051AA3B42E3B5E09331A75FB3D1D64ACE235B05A7F8D74A4FCAC58EC23692 |
|
CONTENT
ssdeep
|
192:wZVtDBr3bWnzYug4DLSk0sgmn/1bDZLOT4tSlgNGHW0/gVGHWMJGgyPGHWUjgdG/:wZLCYuDLVhF5Z2cGIwsxgCiKLy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a34fecb839e94047 |
|
VISUAL
aHash
|
ff0000000003ffff |
|
VISUAL
dHash
|
2b63c559583a088c |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
2100232b2b200020,3439ba695bd6d7d4,33324cb04c0e0620,000022d4d4d42200,25e4c8515958389c |
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 203 techniques to evade detection by security scanners and make reverse engineering more difficult.