Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172234BB26322B8A843DB91EEF7392D56B2C5489DF8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a6+EsZx8/G8U4LDawgMcB3MwvMcB37w9r82+/9dtZkDieE565TmHEnkvdhfVPqDo:a6+EsZ/8PLDawgMcB8wvMcBrwh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e91919dc5c0d2 |
|
VISUAL
aHash
|
ff81a18181ffffff |
|
VISUAL
dHash
|
6d6d4d6771000100 |
|
VISUAL
wHash
|
b700000081ffffff |
|
VISUAL
colorHash
|
07230008000 |
|
VISUAL
cropResistant
|
6d6d4d6771000100,cecc4ccc3abe7260,edf17151754c8802,fffff7f5d6fedfdf |
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.