Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3026512D6943B2C279E81A8F226C9DFB70402A5D36A0FD5877A837FB8485E485367CD |
|
CONTENT
ssdeep
|
192:pt8OMVRwew26pZ9rAPX2ABTVwz/8vCmlulZHnBnDBfV1Y01V+mz7d:ptpMVSMskPX5BS3+mz7d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c68c3c3c7c2c3 |
|
VISUAL
aHash
|
838181ffffffffff |
|
VISUAL
dHash
|
3b3b3b373b33231b |
|
VISUAL
wHash
|
81818183ffc3c3ef |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
3b3b3b373b33231b,ff7feeaeddf9ffff |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.