Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1B34C643204B82F5A7343A7A0DE2513717D420BC40F4D30B264EDABBAE9CAE65777D9 |
|
CONTENT
ssdeep
|
1536:K5rNkxePg7golUuRNka2wblHbJLwLIz9GguGOjjRnY:scY+gkrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a631c36cee999998 |
|
VISUAL
aHash
|
f742cfc38181ffff |
|
VISUAL
dHash
|
2f8c98abab2a120c |
|
VISUAL
wHash
|
ff020e030103dfff |
|
VISUAL
colorHash
|
070010080c0 |
|
VISUAL
cropResistant
|
2f8c98abab2a120c,0002d0f4fcf80210,0bd1d0d08949430b |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.