Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124313223B1049C2D1133C699EB85BB26139AD694D60E1500B6DD927DCFE1DA5FC6628C |
|
CONTENT
ssdeep
|
24:hR/Y9cRhMZaGJdjojhllV9D9ypCNqQ+v88avw5/PJZxMRzX:Tw0ga+IIptuvwOBX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
845b647c197766cc |
|
VISUAL
aHash
|
00001f2f1f373737 |
|
VISUAL
dHash
|
ece4e47af2e4e4e4 |
|
VISUAL
wHash
|
00003f2f1f373f37 |
|
VISUAL
colorHash
|
07000000580 |
|
VISUAL
cropResistant
|
ece4e47af2e4e4e4 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.