Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171F11EE1D044ED3B434386D9E7B96B4B73A1C349CF070A4493F483AB6BCACA0CB11599 |
|
CONTENT
ssdeep
|
192:Qwg3g7nbzD71Utt8iIGdHgNflm+QFAXKyHg7aq6:Qwg3g7nQ1ZVgJlFAlWg7aq6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c9b9904e7c790 |
|
VISUAL
aHash
|
df9fd3d397ffffff |
|
VISUAL
dHash
|
30b02424b4000000 |
|
VISUAL
wHash
|
e4dcc0c0c0f4ff00 |
|
VISUAL
colorHash
|
07c00200000 |
|
VISUAL
cropResistant
|
30b02424b4000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.