Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E727632710C1528329778A1B1E133D1F726473E7E8E58B638B9CA5ED1DC27FA172A64 |
|
CONTENT
ssdeep
|
384:F/439UDJas08MExEepFfIBYs5s0+EzKsaLG:F/KUDJd08MExEep9ICs5T+EzNaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc69c33c30b29ec3 |
|
VISUAL
aHash
|
e3dbfb83839fe7ff |
|
VISUAL
dHash
|
1232233636360c1c |
|
VISUAL
wHash
|
c39b8183839787e7 |
|
VISUAL
colorHash
|
07400200080 |
|
VISUAL
cropResistant
|
1232233636360c1c |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.