Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B11633000088C6B8183D2F492A0864FB6D6CA8ACB171A0587F4C71E6FF2DD2CE49664 |
|
CONTENT
ssdeep
|
12:nwMy7FGhKj0h2iLOQjS0Vob+FrIS2rP6jWg3uwVv3oJD9kDVm8Gu6l7mSv/tnfAV:n/CMA7OG0VoCFzUN9ul6R7/tfh6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f677010989d9fc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccd8d0d0d0d0 |
|
VISUAL
wHash
|
3020000030303030 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a09c989080808080,f184acb6b6ac84f3,0e71710e20000000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)