Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F837923425979274437C6D130A95B3BD1A6D99FFAE70A000EECCBF72BF9CA0744A119 |
|
CONTENT
ssdeep
|
768:llJw4apR4nXF6YjOpSpFlTC6rrmFLiU6Lrf:GpR4nXBKpSpFl26vmFLiU6Lrf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3493939394d71 |
|
VISUAL
aHash
|
0870707e0e18107c |
|
VISUAL
dHash
|
1ac9c3c81c61e8d4 |
|
VISUAL
wHash
|
0878717f0f3c147e |
|
VISUAL
colorHash
|
10006000080 |
|
VISUAL
cropResistant
|
4cad1d4ac392e2b1,1ac9c3c81c61e8d4 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.