Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AA3A332A160713F010355E9A63EB33802ADA79EF70119E4267D13B5B7E3CF9E963168 |
|
CONTENT
ssdeep
|
768:FQSRuFDa8rx3p7eQz09g381Wm+TXbPsdI+B3+mt+g0+kd+55+yX+aVglbN/J:B4dp7eQI4m+TXbPsdu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99ccce8bc6266699 |
|
VISUAL
aHash
|
bddb43c2cbcfcbcb |
|
VISUAL
dHash
|
60b29606129a1a1a |
|
VISUAL
wHash
|
fcd8c0c0d8c8c0c0 |
|
VISUAL
colorHash
|
00000000c00 |
|
VISUAL
cropResistant
|
c444448a9b8b8b83,cccccc2da2e8e4f8,60b29606129a1a1a |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.