Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17032DE323484362747C253EDAA36A799E3838157DF360E4666E54B0F9BD7E42CC2246F |
|
CONTENT
ssdeep
|
96:v5LieDX5vpJksSdo8jFvg0hU0mmy4BN504DJP4T4likBw0AYIyp+qSAYIwAYIbjD:vUEXt0o8FjwyJp+qwpgf40fMUZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6f31998664c3333 |
|
VISUAL
aHash
|
ffffe7e7e7e70000 |
|
VISUAL
dHash
|
8c084d4d0c4c3014 |
|
VISUAL
wHash
|
00ffe7e7e7e70000 |
|
VISUAL
colorHash
|
170010002c0 |
|
VISUAL
cropResistant
|
0c684d4d4d4d4d4c,0000148c88868000,743c86c6a2816953,3030323034300010 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.