Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFF17172A740AD271297D7E027B1A65E75D0B702DD5B0683A2F8938C0FE6CD5CE63201 |
|
CONTENT
ssdeep
|
96:Te7llE8vwZ6Alj2OIDEE0CbRc5mRdAlRb8fLOtG8B7P/eCFD02Ek:MysEj2OuAgalOCoAJFLL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d0c636273d9d963 |
|
VISUAL
aHash
|
18191b183c383c3c |
|
VISUAL
dHash
|
b2b3b2b269706868 |
|
VISUAL
wHash
|
181b1b1f3c787c3c |
|
VISUAL
colorHash
|
38000008050 |
|
VISUAL
cropResistant
|
8a304c4d4d300882,b2b3b2b269706868 |
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.