Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7020E22D2847B1C5296C17DF362E4CDBB8152A2D21A0BD4EBF9A23F7C505F485362DD |
|
CONTENT
ssdeep
|
192:Pr3wZz1Hzk30y4Up/KudQt9CfWWJCNaYJKpqo5A9kdUVQxPzEe:PkPzI0Ea9kGVQxPzEe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c3c2c7689dc3 |
|
VISUAL
aHash
|
81818181ffffffff |
|
VISUAL
dHash
|
2b3b333b3b33332b |
|
VISUAL
wHash
|
81818181c3dfdfdb |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2b3b333b3b33332b,ffff96b6f6ddfffb |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.