Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FB112B1914AE85F0461C3E48ABAFB195B464244CB230F0497F84BAE6EC7DE4CC231ED |
|
CONTENT
ssdeep
|
96:D9tuCJl/stja3tuMJ9tRCJN+t3JOJ4ctYU/84a6i6NXO:u+lUtja3409Pa43Rcfk4BbXO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c22e91f1bc8aef44 |
|
VISUAL
aHash
|
c1001011e0f47e7e |
|
VISUAL
dHash
|
019561e9c6c8c4c8 |
|
VISUAL
wHash
|
e7001011e0fc7eff |
|
VISUAL
colorHash
|
18000001640 |
|
VISUAL
cropResistant
|
36d636c6848c6cc5,a290059adccca83b,019561e9c6c8c4c8 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)