Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFB2BB33B184862A8E9B51FDEE9CB356618D915AF330C18258F5827FEB51D9C383436D |
|
CONTENT
ssdeep
|
384:X7ITp0SGy8MwsdV8jlGSmWbrvXtG7IFvPQDPMqVwX1RSZNhIuGSRuABLE6WR070m:Xi0SGy8MwsdV8jlGSmWbrvXtGkFXQDPT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b939c2923a7cc587 |
|
VISUAL
aHash
|
838383838fffffff |
|
VISUAL
dHash
|
1b1b1b1f1bc8fae0 |
|
VISUAL
wHash
|
81818181037f7fff |
|
VISUAL
colorHash
|
0e200030000 |
|
VISUAL
cropResistant
|
1b1b1b1f1bc8fae0,01018589b101a505,76674565675b7d55,464e6c6e46434b49 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.