Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4C20A3AE1D4225D01C312A2BF5177D7D97CA8CCF226E194ECB9D1D127814A882B77FA |
|
CONTENT
ssdeep
|
768:fhCp8Qb7q8MOYoiTl/CcqghX8Vfatb0EjxybdGGlvqN8:EuSq2YvTDqgYTljlv3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93b3eb696936060d |
|
VISUAL
aHash
|
e7ff3e0400000000 |
|
VISUAL
dHash
|
cc48ec5cd4e0c0e0 |
|
VISUAL
wHash
|
e7ff7e043c303830 |
|
VISUAL
colorHash
|
00200040007 |
|
VISUAL
cropResistant
|
e54944b633b26266,80aa722321ba82be,cc48ec5cd4e0c0e0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.