Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7917763E039A4C7C713C9F6F9C03A4CA6D6438DCDC56840A8F4A95DE3ECA7077A9146 |
|
CONTENT
ssdeep
|
96:luziBP5tw/goBAt4wQdOgiHatZqeEO0nEtsp20dfdSON1r:gAPnwoaAt4wQRikSOEEtsEEVSON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa2ad50e2af1d5cc |
|
VISUAL
aHash
|
0001ff0000ffffff |
|
VISUAL
dHash
|
65b50099e51a0000 |
|
VISUAL
wHash
|
0000ff0000ffffff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
65b50099e51a0000,40a038a2a622a040,80c41880f20c0202 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.