Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F3451378456A93E06A342C93135AA16E2D6C207C74A42C4B7F493DC6FDBE71DA732E4 |
|
CONTENT
ssdeep
|
6144:av8/YeLs/x4cbIDLGPXjw0ViGPXjw0RUMgUJ:9/YWs/x4cbI/GPXjw08GPXjw09 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c9df2a924317376 |
|
VISUAL
aHash
|
ffff181910210000 |
|
VISUAL
dHash
|
3971e0f2e7e3ccc5 |
|
VISUAL
wHash
|
ffff383b31f10000 |
|
VISUAL
colorHash
|
0b002000180 |
|
VISUAL
cropResistant
|
a0c0c2b2b0e5e5b8,3971e0f2e7e3ccc5 |
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 98 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)