Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D43202F1D050D936076381C5B6767BAF77E2C289CF020A2413F853AEABCEEA199114DD |
|
CONTENT
ssdeep
|
192:XfG2d9zYhhYc/A8iI4m5AZu9ZNg6ZN5ZcdnKzYU8F:HGYc417mCZ4ZpZDZcKzB8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3738cce227303d9 |
|
VISUAL
aHash
|
ffffc3c3e7ffff7f |
|
VISUAL
dHash
|
0a189e9e0c480ec0 |
|
VISUAL
wHash
|
00fbc3c3c0c0c03c |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
0a189e9e0c480ec0,fffffcfdfcfdcdfd |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)