Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F0253786A70153DC573C7D299B2BE193047F375C0EA8D28E7AA0255EFE2DB4F804264 |
|
CONTENT
ssdeep
|
192:uilI1gSNYuuxqaCYOWgYHackoP6ZfdGH0GXfqEXw+8fqtpVvEr:Tl2YuivxvHFkxZfdp8fO+8fCO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333996633992399 |
|
VISUAL
aHash
|
efe7efefc7e3ffff |
|
VISUAL
dHash
|
1a4858284d4d3232 |
|
VISUAL
wHash
|
ece4ecec24243c3c |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
1a4858284d4d3232 |
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.