Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BC21ABFA6C4226A019311D1BF52799BC578449D9335E350DFFEC5C293804ACC277BAA |
|
CONTENT
ssdeep
|
768:PGz2oQbeXEcQINq0VMO1JQFCoKrRksU8A8pl:w9XX7fNZMOxobs3T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9696696969a5a6c6 |
|
VISUAL
aHash
|
201e3f3e3c3c2000 |
|
VISUAL
dHash
|
ca786cfcd1c8d0d0 |
|
VISUAL
wHash
|
301e3f3e3c7c3870 |
|
VISUAL
colorHash
|
30003600000 |
|
VISUAL
cropResistant
|
ca786cfcd1c8d0d0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.