Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8335C726731B8A883DB51EEE7382D49B2C6589DE8CB4550F5C956CE23C7CD02287BB4 |
|
CONTENT
ssdeep
|
1536:az+EsZ/85NDVRPMjBhRhMjBODrpRXPZlQaQD9OehM+BrUgq4z:a8mRCRxDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3cd0c2c7606437 |
|
VISUAL
aHash
|
fe1f03073fff1fff |
|
VISUAL
dHash
|
8837164e70845850 |
|
VISUAL
wHash
|
fc0f03071f010dff |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
8837164e70845850,aa8ec4f3b3b4b032,8d95b1d95a721a8a,cee2b5143c640a8e |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)