Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D932AA43A59F5676AB3439720EF2003B338552F540D4D607350ECAE66BCC9BA067FDA |
|
CONTENT
ssdeep
|
1536:O3SiqjrJQZUPd2hr7zszwvtbPTMnPAI0UuhQfS0b8A:Ji9ZUAhvs8v5g0nQKG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88a3334862f3bf69 |
|
VISUAL
aHash
|
ffffff3c18180000 |
|
VISUAL
dHash
|
dff333b2b2b2b24c |
|
VISUAL
wHash
|
ffffff1818181800 |
|
VISUAL
colorHash
|
16406000000 |
|
VISUAL
cropResistant
|
ffcb8f4848c8c8c8,dff333b2b2b2b24c |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.