Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F343B7B1D6C9BC1741A3D3CCF041EAC9A1A72527EF149DA8BF9845A3B3CBCB945B0161 |
|
CONTENT
ssdeep
|
768:OiW26GkurS5Z5z5WL6/J0FGyOs4L19mc3BOdRR:5GjL19m9R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c06b81ecbbc8cde1 |
|
VISUAL
aHash
|
ff006000007e7e7e |
|
VISUAL
dHash
|
33cdc9dddcd4d4d4 |
|
VISUAL
wHash
|
ff007004447e7e7e |
|
VISUAL
colorHash
|
39400010001 |
|
VISUAL
cropResistant
|
8333232333930303,9d9d2d646211c4dd,da1b796b495cbcdc,3332256333333355,25e4f2f9808296b6,18c9cccdd4d4d4d4 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.