Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B234B726332B97843DB92EDF7382A45B2D25889F8CB4554F5C95ACE13C3C906193BB4 |
|
CONTENT
ssdeep
|
768:at+EsZx8/G8Hd4rDatvM7BrotuM7BrkwZUcix+y9dQpUDF1E56ITmHDLBABW8KP4:at+EsZ/8HWrDatvM7BktuM7B4wZUXx+L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb9166c699c5c495 |
|
VISUAL
aHash
|
81818f8f8f818181 |
|
VISUAL
dHash
|
651b1b5b5b594929 |
|
VISUAL
wHash
|
bf8b8f8f8f818181 |
|
VISUAL
colorHash
|
33e00200000 |
|
VISUAL
cropResistant
|
651b1b5b5b594929,fef9f9e1f0e6e4e9,649b5b1b5b5c515a |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.