Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB3254B1A55668371663D2E8D9B59319F2C28A8CCE934681D3F5D31F1EC4EB2FD43228 |
|
CONTENT
ssdeep
|
192:Wom+y9Tb9vvux4/hwMXJeBzXUUS6oUkluNuT2x48Ks:c9HgTEUJpkYQT2Qs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d657756d612a2aa8 |
|
VISUAL
aHash
|
003effffffffffff |
|
VISUAL
dHash
|
a86869694000000c |
|
VISUAL
wHash
|
003c3d3dcccccce7 |
|
VISUAL
colorHash
|
070010c0040 |
|
VISUAL
cropResistant
|
0100908181830000,686969690200000c,0040101010400000 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.