Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE33D93104C4673B92D343C4A360EB1FF396C144E27AC959E2EA872E66C9D94C87BB5D |
|
CONTENT
ssdeep
|
1536:JqesMQYvR2RVMVyRMVqrH0O/rtqgzGugUFknEJhd:JFVBJeked |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebea4bcaca96 |
|
VISUAL
aHash
|
fd06060606ffffff |
|
VISUAL
dHash
|
518cececcc3c381b |
|
VISUAL
wHash
|
fd0606060610ffff |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0001495161490162,96d6e8b294710f8e,c0303c0c2d1d3c23,8c8ceccc8cecccec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)