Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171A233512108569AC2F34CE898113A80B186D74FCC715770C6BC4E7B5BE2AA1B7ADF7E |
|
CONTENT
ssdeep
|
192:2orm9A3eWzrpHjbi1jzf2WGURP9bqlMWVzCUmks942HNlJHKQDCVRBNlJI5LjwZm:239WzdoGyP9baFUXUXjwVNlNivBe148 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d225d2f3add2a50c |
|
VISUAL
aHash
|
ff00000000fefcfe |
|
VISUAL
dHash
|
0c48607072080000 |
|
VISUAL
wHash
|
ff20000000fffeff |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
1e1e70084c4d0834,0200080808080000,3050686048303068,d4d4d09096d0c982 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.