Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108F34DA06144B677123343F574A7A306B266521BDD0BCE50B3E8EDDA336CC9A9123FD9 |
|
CONTENT
ssdeep
|
1536:9Fboedeei7a2Zmezn+jFxlmtkmWyOA8WyMdDM65AXFfbsQmlo2h2wV9LHd8tVPTp:Det8vXjUMAL98n0d0++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c348b89fce46b998 |
|
VISUAL
aHash
|
ff000030380000ff |
|
VISUAL
dHash
|
33dcd5c0e0c6c423 |
|
VISUAL
wHash
|
ff4040787f6200ff |
|
VISUAL
colorHash
|
3a409000008 |
|
VISUAL
cropResistant
|
00134b3b3b4b0204,000000000300332b,b4d9c5c0e0c6c4e5 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.