Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFD4A432E1F3873B457E3594F165BB89A593D34FA3C22FFA815880981B81C8D6D179AC |
|
CONTENT
ssdeep
|
6144:AMlXn+4xMz+4xMr+4xMwms+FNF/sARBFysr6HJ4+i64V:zMFMtMzsoF/9RBFysma+d0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ab36c1c492c93e6b |
|
VISUAL
aHash
|
ffff81818181f9ff |
|
VISUAL
dHash
|
c0272b3b1b235b1b |
|
VISUAL
wHash
|
ff8181818181f9ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
c0272b3b1b235b1b,e7ac6cdcdc618999 |
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 1951 techniques to evade detection by security scanners and make reverse engineering more difficult.