Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A12EE71946776F7079393C55B32630AB3A18240D6034681E2F9C74E6FCED5AEA6320F |
|
CONTENT
ssdeep
|
192:tv+XXwdoHqjbGPlaf0fCC0cjOzUwjYKsMvw:tvKwdoHqXclg0/pwkKVI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
963fbc4343694996 |
|
VISUAL
aHash
|
00ffff003c0010ff |
|
VISUAL
dHash
|
943c2fd0f0d42033 |
|
VISUAL
wHash
|
00ffff003c003cff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
c8323d0d3a2828d0,e0f898c095a05555,00c020324c333335,000083d4d4d42240,d3c0f0f8e4d4d4d0,551114d4d4d41155 |
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 103 techniques to evade detection by security scanners and make reverse engineering more difficult.