Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B373C972D2461503605B85C8F1228B4D73528789CB138FB976FD17A9EACECF56B62388 |
|
CONTENT
ssdeep
|
1536:Zy+6+/PgugHfygr/dVuRwDNYxf7NiwAVBfVCDZnndjeeeKpK/6rxk222I222222l:H7gHDWLAHfK7xk222I22222225YTJeSR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c02ecd329993ef4c |
|
VISUAL
aHash
|
fb00707e4c407c7f |
|
VISUAL
dHash
|
aaaee6d8888ad8ba |
|
VISUAL
wHash
|
7340727e42427e7e |
|
VISUAL
colorHash
|
06600018000 |
|
VISUAL
cropResistant
|
aaaee6d8888ad8ba,8692939325651f23,8692939325651f23,099964f1330f2b22,8692939325651f23,8692939325651f23,4b4b7198d8d08c4d,3692db4bd21a2b2b,2565477747496b21,8692939325651f23,8692939325651f23 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)