Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173334A73676274BC83CB91DDFB392E45B2C2A48DE9870490B29866DD27C3C9171877B4 |
|
CONTENT
ssdeep
|
1536:aB+EsZ/8Oe7YObDTEe+wsM5BHwEM5BFN2/y9dGoDF1sPnTA4IE3wtwH:aO+mwXwdN2aD3Hsqa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9624e91ae9cc96ec |
|
VISUAL
aHash
|
ff0006060404ffff |
|
VISUAL
dHash
|
8204eccc8c0c2c02 |
|
VISUAL
wHash
|
ff000606060cffff |
|
VISUAL
colorHash
|
33000000180 |
|
VISUAL
cropResistant
|
0808100209558400,0ceccc8cccac2302,860ceccccc8cec2c |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.