Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AB183739104C81A1FABD28CEBC0E1D89296D21BF63058C3B2D6607F5BC0FF49992368 |
|
CONTENT
ssdeep
|
96:uCci/DCswt4aR1sYYfMmORR1E8VConMzP12av2Up8l:ux/tndYfMmUU8VCoiNH+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eeb5955a914a9166 |
|
VISUAL
aHash
|
fff3f0f0f0f0f0f3 |
|
VISUAL
dHash
|
5906252525656507 |
|
VISUAL
wHash
|
fdf3f090f0b090f0 |
|
VISUAL
colorHash
|
17000000180 |
|
VISUAL
cropResistant
|
5906252525656507,0bc5550707878f2b,85aa2a064e06262a |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.