Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16423C63118C46B3B06D343C59361EA17E3A2A284F37ACA4AF6F5834B57D4E94CC27A5D |
|
CONTENT
ssdeep
|
768:Tm0a+aB2ztKwZmCgo6YsXCm1E7bBnVvAulR0dEgtgfE/C+nPO/vtr+EM+OkRT5pC:Tm0a+G2JDZmho6YsXCm1EZnVvA8RVxfs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebcacbcac996 |
|
VISUAL
aHash
|
ff06060606ffffff |
|
VISUAL
dHash
|
61ccccecec3c3843 |
|
VISUAL
wHash
|
fd0606060610ffff |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0001416161c501a2,96d6e8b294710f8e,c0303c0d690c2b53,6ccc8cecccacecec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.