Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7E250116C44DC0702DF59CC6AB6922952BA4382C2231A89FEB5CBFD5BDFC6DCA77052 |
|
CONTENT
ssdeep
|
768:NwJ7kIx/jlnxlYSETih5H7AJbjTbNslv9zDIXfpRHVh1xjdMdUf7d:Nu7kIxRLYRmvbMbjTbNsfDIXfp1Vh1x7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6e1a1225a99d55 |
|
VISUAL
aHash
|
0000f0f0f0ffffff |
|
VISUAL
dHash
|
dbc502020292d3d2 |
|
VISUAL
wHash
|
0000f0e0e0faffff |
|
VISUAL
colorHash
|
06600000180 |
|
VISUAL
cropResistant
|
0b030483c9cb4200,0502020216dbd2d2,23a354e6e7d9d8fe,040b0b0b0b0b0403,c505020202020206 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.