Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177F273306041AB3F0183A3C59B74AB5FB3D29249DA63070933F9971E5FCBE86DC25999 |
|
CONTENT
ssdeep
|
768:ftfM7v/DJDAoF7pXtYKrkb/ypYSSG29jQGqH+K0Pm:fJ4v/DFAoF7pdYKrkb/LSS99jQKm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d694b9c9aaf10371 |
|
VISUAL
aHash
|
ffff000000200000 |
|
VISUAL
dHash
|
202c4c6c4c400d29 |
|
VISUAL
wHash
|
ffffb6b0b0f08000 |
|
VISUAL
colorHash
|
06602008000 |
|
VISUAL
cropResistant
|
3818232320646c6c,024c1230814c8888,0b7aa589891a9001,4c446c4c44480d21 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.