Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E23C83144C86B7763C392C5A391EA4BE3D24448F379CA5AF5E6C71E9AC8D88D83764C |
|
CONTENT
ssdeep
|
1536:0zNCQ/Fct9EtqdZixYCZ2VO/oygclZ8t81u9D10gyT:0s2IlfGLyD14T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebea49cac996 |
|
VISUAL
aHash
|
fd06060606fffff9 |
|
VISUAL
dHash
|
71ececccec2c7b33 |
|
VISUAL
wHash
|
fd0606060607fff9 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0001493171490162,96d6e8b294710f8e,e0187a600b133333,ecececccccececec,fff770f8f8fcfebd |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)