Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17722DB63FC340957FD667DA59295733362B48141D33A49408AEF829DCB9BCCDA72F212 |
|
CONTENT
ssdeep
|
192:Y5ASmE9z74jzZTpb/sHqeiW2NfOwhijbqOPnC54FXUsPnnIcRgyLUVYybhoYSgAV:Y5ASgbpeov4RBPnIcRgDVYyb9SDV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e0506366567675e |
|
VISUAL
aHash
|
261f3d599ebe9cfc |
|
VISUAL
dHash
|
ecf969b330286934 |
|
VISUAL
wHash
|
261f3919989c9cfc |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
ecf969b330286934,33779c29676d2f5e,162727351f0b070f,9910032d1303e95c |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.