Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A262C815BC54DC1640FB7ADDA2B29E3950FA8341E66406CAE85B83F64763D3DCB336A0 |
|
CONTENT
ssdeep
|
384:4DHD/H/Y9yGTinyTsKVXA8n6LHQPYu6ft:4DHD/H0jVXA86ZF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b18acf29ce6e3131 |
|
VISUAL
aHash
|
ffcfc7c7cfc3c3fe |
|
VISUAL
dHash
|
409d9eae999e9e60 |
|
VISUAL
wHash
|
1f0703030303030e |
|
VISUAL
colorHash
|
06000e00000 |
|
VISUAL
cropResistant
|
409d9eae999e9e60,a2b89686a6a686a8,c023d8c4c4790620 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.