Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE4124B540041C6F514372F467B5BE1AB5C2C202C6636B85A2F8C7ADEEDAF85CCA4295 |
|
CONTENT
ssdeep
|
48:TX5CbkaW8TNmTNMdJJCop/m+PioiH9avnuaH1s2mgUhR1:TQbiakavNOz1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6546aad56aad54a |
|
VISUAL
aHash
|
8000464666e30301 |
|
VISUAL
dHash
|
22ccacaccc862725 |
|
VISUAL
wHash
|
90044666f6e7e3f1 |
|
VISUAL
colorHash
|
38000200070 |
|
VISUAL
cropResistant
|
8080802d2d808080,22ccacaccc862725 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.