Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5C2B671A140263B5197C3CABB61B72EA2E3C289DB46091553FD835D5FE3E90EA1343B |
|
CONTENT
ssdeep
|
768:5SCy5NiSceQT9loQtQ/MpkNTu9ZS87sOy2+y9BH4c1Ie:QceEl+GCuX7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53ac42c94cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49c2c0c9e99d00 |
|
VISUAL
wHash
|
80ef3030240cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,0e49cae0c0e9e909 |
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.