Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C453C073C0411726A782A2C89F69337D8653039F4F91BF8DAAE17467FC8B7E6592009D |
|
CONTENT
ssdeep
|
768:NTRTJ57JpjAR6AwyojslopoUAGGMzGTYL11s/lgCU11pcbUK:NTRTJ57JcIslopo/JTYLzs/lgCUpcbUK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93186cecece3131 |
|
VISUAL
aHash
|
ffcfcf998fcbdbcf |
|
VISUAL
dHash
|
2f1a992b3b2b3b3a |
|
VISUAL
wHash
|
c7cfcd8183838b8b |
|
VISUAL
colorHash
|
07006000048 |
|
VISUAL
cropResistant
|
2f1a992b3b2b3b3a,9adcdcda9a5c5c7a |
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 761 techniques to evade detection by security scanners and make reverse engineering more difficult.