Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152C32CF9B549B62B452343DEF0EB170373BA121BAB0E4D20A3B0DDB597E5C49A41BD84 |
|
CONTENT
ssdeep
|
1536:YfRsC9h0uzh3WZvr79lUuRNka2wblHbJLwLIz9GguGOjjRnY:+R62hErX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7f038c8ce37871c |
|
VISUAL
aHash
|
c040667e78382034 |
|
VISUAL
dHash
|
aa96c4cae0c0c8e8 |
|
VISUAL
wHash
|
e0e076fe7e3c2034 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
feffff9f3fffffff,aa96c4cae0c0c8e8 |
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 1318 techniques to evade detection by security scanners and make reverse engineering more difficult.