Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152D133A15056DB67009783E593F76B2A32EE4298DA830B06C7FDC3D89EE9CC1EC55590 |
|
CONTENT
ssdeep
|
192:LUAXx3Cn3cCaVXhbdPJTdunFT2NIo5x/GFT7raZKL:9Xy3VaVXnJIobGJHaZs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b910c66dc793966c |
|
VISUAL
aHash
|
ff8f8f8f838f8fff |
|
VISUAL
dHash
|
e0383c183b1a1b06 |
|
VISUAL
wHash
|
7e0c8686818f87f7 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
e0383c183b1a1b06,32b29196899ab638,8f4fa3a373b3a6a6 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.