Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126F107F66220875E4183C5A8FF62F4D0C24ED06FE296DAD0D75E87B440E7CD4F566980 |
|
CONTENT
ssdeep
|
192:bByhYhhah/7Jw3gllgJ7jywAcQSyUZxBcFL/W:lgeh4dlgZ2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88607879513bf5ae |
|
VISUAL
aHash
|
0000ffffffff9b9f |
|
VISUAL
dHash
|
82a29632b2737333 |
|
VISUAL
wHash
|
000053ffff7f1918 |
|
VISUAL
colorHash
|
0e1c0008000 |
|
VISUAL
cropResistant
|
a69633f3b2733333,008292929a00b2b2,e7a723273735355c,6565660a2a6a6746,acac6d2b333b6b4b,6d6c521296d34d2d,e2e2ea4a5a4a18b4,c667655494d5d515,a676565454dcc4e1 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)