Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111D2BA3161107A3741A7D1CAB7A1572A72E3434FEB470516A3FF83AC0BE7D14DA6721A |
|
CONTENT
ssdeep
|
768:Wen4t8/Ea3q5d5crUmDO47sOy2+y9BH4crIe:F4e459aO47sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b430ad3ccdc5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccc4c8c88c8c00 |
|
VISUAL
wHash
|
027c7c304044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4cccce0c8d88c8c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.