Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108510D609019BD339003E2E86AE4AB5B31D7C205C7C62A0867F0D37C2EE3C4DDE66229 |
|
CONTENT
ssdeep
|
48:YUsUJhhzazr9FTOiyXlnRa26YXAPyETIYe1JEp5LM7Y8y6BLPHwut16:Yc8zT+ln4bByEYJEzME8BFPwu6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f67709890999fc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccdad0d0d0d0 |
|
VISUAL
wHash
|
3f27373f3f300000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a09c989080808080,f184acb6b6ac84f3,0e71710e20000000 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)