Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BD2D631E1081A3F113BC2C8F382A72EA1E7928DCB460455A2FD177E87DAE55D82717B |
|
CONTENT
ssdeep
|
768:hxy5NbcOQvaR2pBM6dyOIITP7sOy2+y9BH4crIe:FOGM6kOIIj7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f260c91ab46fc696 |
|
VISUAL
aHash
|
004060408400ffff |
|
VISUAL
dHash
|
9f87c68e1c3b7300 |
|
VISUAL
wHash
|
00e0f0c2ce80ffff |
|
VISUAL
colorHash
|
09002040080 |
|
VISUAL
cropResistant
|
7100900278908000,1f8bc78e9e3c3373 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.