Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1C2B53292143C3E16235ADCF760B3AB62B7B25ACA561C44E3B882F147C5DC4DD372A9 |
|
CONTENT
ssdeep
|
384:CuiXyDtq2lIywbxQ1vL28MKSUrl6Vqam8KX:CuiChzlisaI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b268cbcb62687bc8 |
|
VISUAL
aHash
|
f9ffc1c3c7879f9f |
|
VISUAL
dHash
|
0b41170e0d0f3f3d |
|
VISUAL
wHash
|
f1f1c0c387870f0f |
|
VISUAL
colorHash
|
07007400000 |
|
VISUAL
cropResistant
|
0b41170e0d0f3f3d |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.