Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102A3CC27422975275437C2C034B95F3BE1A69D5FFAE70E010EDC8BEB6AF9CA0741A119 |
|
CONTENT
ssdeep
|
768:pxmXtpR4nXF6YjOpSpFlTC6rrFTfGDHsqJUXLr2VzX:p2tpR4nXBKpSpFl26vFzwJUXLr2tX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f42ec6c9013c7cd |
|
VISUAL
aHash
|
00003c0c00009fff |
|
VISUAL
dHash
|
2067687878657a26 |
|
VISUAL
wHash
|
98303c3c1c10bfff |
|
VISUAL
colorHash
|
17c00000080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,6c8022c826261a96,206560687874657a |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.