Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115F244B4D250CD3B00ABE2C5D770BB5B72E2928ADA67420207F897785FDBC95EC13499 |
|
CONTENT
ssdeep
|
768:HJcx85EVMwAzhdzVJNJzo1zz8vzqCzui72zCW3zCPBbmb2lTaHSQ6wFUPL4cudi6:2mZNursq1XaDvDJBDtQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a94d461656736d4d |
|
VISUAL
aHash
|
00fbfbefff83cbff |
|
VISUAL
dHash
|
4d121212203f1b23 |
|
VISUAL
wHash
|
008bdbebbf8181f1 |
|
VISUAL
colorHash
|
07000000640 |
|
VISUAL
cropResistant
|
1612121a203f1b23,00a3034b4b030300 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)