Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F3343B15207283FEA03C6D2A765635DF2C69306CF438D4ABBF19376AE82D65FD24118 |
|
CONTENT
ssdeep
|
768:1X4aHJdKWmDWukIDJ2MtPxzX/66I0ahPHSSX710+K+Fy2XtV2MD5IhFpYS5e9C/O:RhHSBDtkIDJ2MtPxT/2oO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c396613d692f610f |
|
VISUAL
aHash
|
007e7e3c3c000060 |
|
VISUAL
dHash
|
4be0e4cc68c0c0c0 |
|
VISUAL
wHash
|
607e7e7e3c3860e0 |
|
VISUAL
colorHash
|
30003000080 |
|
VISUAL
cropResistant
|
ecf913b64a04c004,4be0e4cc68c0c0c0 |
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)