Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193D2AB32B1107E3B41A7D1D6B2A16B2F61E3434FF646052692FD83AD0BE7D14DE27229 |
|
CONTENT
ssdeep
|
768:teiPSKnAcF5UOzz5s5YvCrAUIcY7sOy2+y9BH4cLIe:5765YvxTcY7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d205b434bd34e5a7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccd0c8cc8c00 |
|
VISUAL
wHash
|
027c74302064ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccccc8c0c8cc8c |
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.