Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143A28421D5406A1E5697A0A0EE62C3AF734482C5F28F4BF522F58275BDCD9F0DC3A25D |
|
CONTENT
ssdeep
|
384:/VlAIytcPL4+mY1Adzt4WaXqRfqpi9MhOuHHNnC7EI5DK:gGLzCdz/ShzHNnMk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b649cd3306638cf |
|
VISUAL
aHash
|
000000043c3c3c3c |
|
VISUAL
dHash
|
cc79714959596979 |
|
VISUAL
wHash
|
063c183c3e3e3e3e |
|
VISUAL
colorHash
|
380000100c0 |
|
VISUAL
cropResistant
|
bcb4b436349892e4,e4ce9325bb763cf1,cc79714959596979 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.