Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17653C7B340547E7F0962B3F8E6319B9CA7C2621CDB675988C4D043896B99DF2DC271D8 |
|
CONTENT
ssdeep
|
768:RKics+r95zBzEzgTTz/FzulmMOWmY8SBYVpC77airy:Rrcs+z1Y4TBClbOW8ynry |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bdc02ee03f2e0c37 |
|
VISUAL
aHash
|
03ff1f0fefff0303 |
|
VISUAL
dHash
|
6610707818987e7e |
|
VISUAL
wHash
|
03ff1f0fcf070303 |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
6610707818987e7e,8080a2a2a2a28080,18e619393819e610,5a4e1ca8282aae4d,c4323233f1496a39,4f4b5919a8bb9f1e |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)