Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0E36D203114753715B703CAB0EA2116F3BE525E961E0850B36CE5B96BEAC8AF533EDD |
|
CONTENT
ssdeep
|
3072:/U7I7B7qc7PGKNSNFNiNbN/N+XXIMubGvnaKctSj:s7I7B7J7+KNSNFNiNbN/N+naivnaKctc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
adad9292596dd446 |
|
VISUAL
aHash
|
ff7f13033bff81f9 |
|
VISUAL
dHash
|
7976361677692343 |
|
VISUAL
wHash
|
bf3b13033b1b81f0 |
|
VISUAL
colorHash
|
07c00010000 |
|
VISUAL
cropResistant
|
7976361677692343,234d0d5b1b15710f |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.