Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13102B71FE20862380E9406F5B87137DFD65A548CF2276BD63EE9D03C61941898A36AD6 |
|
CONTENT
ssdeep
|
192:9AiBOTPowTrPtVByXGTk47xPA2oIUu3xwGMbpI+7ON1r:9O7owTrPtVBy+kGxPABtu3x6be+ir |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad29212b2f2a2d3f |
|
VISUAL
aHash
|
01ff9f9f9fffffff |
|
VISUAL
dHash
|
471333373bc30f14 |
|
VISUAL
wHash
|
01030b030f17ffff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
471333373bc30f14,0042b3434333c300 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.