Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC73F93393411103E05B99D8F1229B4A7322875ACA138FB576FD17B9E6CDCF52B62398 |
|
CONTENT
ssdeep
|
1536:OwruxuMoEnfkyvddVQRaTvOxu7taKSVXdVCDyejqUeueAbYrrxk222I2222222w/:MwMoEnPSGSpdEsxk222I2222222Kszfu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c12ecd3299c1ef4c |
|
VISUAL
aHash
|
fb00707e4c407c7f |
|
VISUAL
dHash
|
aaaee6d8888ad8ba |
|
VISUAL
wHash
|
7b40727e42427c7e |
|
VISUAL
colorHash
|
06600018000 |
|
VISUAL
cropResistant
|
aaaee6d8888ad8ba,8692939325651f23,8692939325651f23,099964f1330f2b22,8692939325651f23,8692939325651f23,4b4b7198d8d08c4d,3692db4bd21a2b2b,2565477747496b21,8692939325651f23,8692939325651f23,c006427079498949 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.