Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1234B72A332B47843DB91EEE7382E06B2D2588DB8C74554F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:as+EsZx8/G86H4UDaw4MLBOwUMLBGwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:as+EsZ/86YUDaw4MLBOwUMLBGwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6bb107e1d52e02d |
|
VISUAL
aHash
|
04fff37333f1007e |
|
VISUAL
dHash
|
69e6c66767c7e19e |
|
VISUAL
wHash
|
00fff37331f0007e |
|
VISUAL
colorHash
|
06400000c00 |
|
VISUAL
cropResistant
|
69b8c6c76767c7c1,80008080808098cc,0008045d59190200,0000000000000000,5e4f9f9131d999d9,0202faee6e6be3e2,cfe24c8b87666a6a,ea6363e2e2e1ada8,55042d2b2f0e1d0d,80008080a2a2a28e |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.