Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155D2D832B145793B81B342D7BB7267BAB3B18181C64A151A13FDC38C8BF6C51AD135AD |
|
CONTENT
ssdeep
|
384:M2YsEII7NrfiO2HPLjXfXRWVsIMP1yO6e+6crdlmL6D1/WEjhQtqyrv:M2YsEII+PLjvBklMPRITC608UjL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7c7d3c5c446 |
|
VISUAL
aHash
|
ff87838f87ffffff |
|
VISUAL
dHash
|
9a1f1e1a1d332c3c |
|
VISUAL
wHash
|
668383838393ff87 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
9a1f1e1a1d332c3c,aaaa66aa2a6098aa |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.