Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DD28972A1106A374297D1C67271672FA2F3434FE6460525A2FE83BD0BE7D14DE2722E |
|
CONTENT
ssdeep
|
768:KeiFxcK36Y8oC05E5s8WjmtJuh7sOy2+y9BH4crIe:m+w895TWStJuh7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d606b434bd34e5c6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
94ccccc0c88c8c00 |
|
VISUAL
wHash
|
067c74304044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,94ccccc0c8d88c8c |
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.