Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAB3A53502482E3DA817C7E8F7A4B738516D9245E27FD62CE5BC12725B87C88E8376D8 |
|
CONTENT
ssdeep
|
1536:0GADoEOSClDbccccQLk3h8pRccccgEccccQccccYyg:BEA3a9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8515fd51d1f95505 |
|
VISUAL
aHash
|
7e1716ff3f3fffff |
|
VISUAL
dHash
|
cc6c6420cce45555 |
|
VISUAL
wHash
|
2e06007e3600ffff |
|
VISUAL
colorHash
|
07203008000 |
|
VISUAL
cropResistant
|
cc6c6420cce45555 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.