Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E234B726332B8B843DB91EEF7382946B2D6589DB8CB4414F5C95ACD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:arXX+EsZx8/G844QGDaw4MJB8owELMJB82Ucix+y9dQpUDF1E56ITmHDLBABW8KZ:arXX+EsZ/8rQGDaw4MJBdwELMJBPUXxb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc1d09a91 |
|
VISUAL
aHash
|
ff8181a18181ffff |
|
VISUAL
dHash
|
6d4f6d4d67716900 |
|
VISUAL
wHash
|
ff8181818100ffff |
|
VISUAL
colorHash
|
07038008000 |
|
VISUAL
cropResistant
|
6d4f6d4d67716900,ce8c6c6cbebeb260,40d2d29bafd2d2c0,ecf1f151754c8826,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.
Pages with identical visual appearance (based on perceptual hash)