Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172235A726332B87883DB91DEF7382E46B2C2948DE9C74590B5C95ACD23C3C816597BB4 |
|
CONTENT
ssdeep
|
768:ab+EsZx8/G8CbRF4wDawlMLBzwyMLBVwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:ab+EsZ/8CVOwDawlMLBzwyMLBVwZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef91b0c4c79398e4 |
|
VISUAL
aHash
|
a18189a9b1998181 |
|
VISUAL
dHash
|
4f61316971314d71 |
|
VISUAL
wHash
|
ff9199b9b1998181 |
|
VISUAL
colorHash
|
3a0030000c0 |
|
VISUAL
cropResistant
|
4f61316971314d71,3860c2bcf87004c4,a2926272724282a2,4b7030c8f1708430 |
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.