Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134E243305112DDBF1183C3F4F7B5AB2AF2888B80CE279E5A93E853691FD6D44CE60659 |
|
CONTENT
ssdeep
|
384:hCfXYEIx8LZ6M+mY1S0VMGHpvxTKYIp590K388pXPMC7LkJ5FSXtF3W088FB:hYYEIx8srV/pvxTKYF5a+088FB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b606e9c969b6923c |
|
VISUAL
aHash
|
0000040400ffffc3 |
|
VISUAL
dHash
|
c6cccccc8cc92b23 |
|
VISUAL
wHash
|
0074664640ffffc3 |
|
VISUAL
colorHash
|
1e001030000 |
|
VISUAL
cropResistant
|
e2c2a2a2e2f2e6e6,c02909232b2b2323,d6cccccccccccc8c,000000607a6a63a4 |
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.