Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D41CB7090158D274487E6D8A3F0A75B3AC1C306CAA7670567F8C79D2AE2C4BDE29584 |
|
CONTENT
ssdeep
|
24:zlwDYu4zu1FoR0AkZJVDMVynM9BGNF3rEBGWNuNNLb3PGBJNENe+A46QZ9TwmLQD:B4YRw9pHMV9YYEkUHOLaC46QvTwmM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f3df0d0504ccfc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0d8d8dcd0d0d0d0 |
|
VISUAL
wHash
|
3c24040400000000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
80b0b8b8a0808080,f386acb6b6ac84f3,0eb1b10e30000000 |
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 551 techniques to evade detection by security scanners and make reverse engineering more difficult.