Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172333B726731B8A983DB52EEEB382D49B2C5589DECC74400F5C9969D23C7C907287BB4 |
|
CONTENT
ssdeep
|
1536:aH+EsZ/8pDVRhMjBMRKMjBFDrpRXPZlQaQD9OehM+BrUgq4z:a4eRZRVDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf1fd0e24ae1c292 |
|
VISUAL
aHash
|
9f0f8f8301c3dbdb |
|
VISUAL
dHash
|
797b7d531d1f3333 |
|
VISUAL
wHash
|
9f0f0f0101c3dbdb |
|
VISUAL
colorHash
|
06c00018000 |
|
VISUAL
cropResistant
|
797b7d531d1f3333,3e56965d9a5edbd9,53e3e1397cfeff7f,fcf3fdfdd7dbafbd |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)