Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D234A726332B87843DB92EEF7382D46B2D6589DE8C74414B5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ai+EsZx8/G8o43DatMMmBAtVMmB+Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvtA4:ai+EsZ/8b3DatMMmBAtVMmB+UXx+y9dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb6bc4c46e84943a |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d49494949000000 |
|
VISUAL
wHash
|
8100818181ffffff |
|
VISUAL
colorHash
|
1e003000c00 |
|
VISUAL
cropResistant
|
4d49494949000000,c9c8c8d8c8c8c8c8 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.