Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144729631D348AE07B1F1C440E372EA4EB5499B46E6610B85DBB6532EF4CD1B2CDA52EC |
|
CONTENT
ssdeep
|
384:ZCIEPE9XqJt6OtE+IdwYar2OV0wkgdV9eJpsbrAWIW6:46DW3A9D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e699199959ce4966 |
|
VISUAL
aHash
|
18e7e7e7e7e7e700 |
|
VISUAL
dHash
|
500c4d4d4d4d0c4d |
|
VISUAL
wHash
|
00c3e3e3e7e7e700 |
|
VISUAL
colorHash
|
06000038200 |
|
VISUAL
cropResistant
|
500c4d4d4d4d0c4d,000040c0d0c04848,ba34343434343030,1f1f1f1f1f1f1f0f |
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 208 techniques to evade detection by security scanners and make reverse engineering more difficult.