Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B30200F2D151D936076381C1A672BBAE76E2C249CF431A6013F803EE67CEEA1D8165DD |
|
CONTENT
ssdeep
|
192:xE9z8hhBSe/3nXgAZu9ZNzZ0ZNJB3X8U8F:xeKBSe/nX1Z4ZdZ0ZBN8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a07c83d7897103fe |
|
VISUAL
aHash
|
fff7c3c3c3e7c37f |
|
VISUAL
dHash
|
08069696168e0ec0 |
|
VISUAL
wHash
|
81c3c3c3c3c3c33f |
|
VISUAL
colorHash
|
060c0000200 |
|
VISUAL
cropResistant
|
08069696168e0ec0,57b9f8fadacf9f8f,2723b152466f4c0f,0817171616171708 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.