Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FD27671A2003A3F11ABC3CA7711F35A93E39249EB450A0553FC835D5BE7D94EE2352A |
|
CONTENT
ssdeep
|
768:3VSzy5NvtyWzR/TE5GavAsDr+/bcD2ej7sOy2+y9BH4c1Ie:fzPGecDRj7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a9c3c89e1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
88c3c3e8cdc98b00 |
|
VISUAL
wHash
|
64f370300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,88cbc3c2cccdc90b |
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.