Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B420161A9421C93A74756D0C0FA0B0D1EBB9B81C90A8FBF737A61BE1BCCDE019D7165 |
|
CONTENT
ssdeep
|
192:zOIwC3yfm1zFP66VpdeiqzxL31BbMyd33trgIuPNu3cy8M3i7om3NW4Fb93Uy+V3:CbC3yfm1z166VpdeiqzxL31BbMyd33tX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8de4cc66d8722376 |
|
VISUAL
aHash
|
fb1b03000000003d |
|
VISUAL
dHash
|
b3b3a7ab663271b3 |
|
VISUAL
wHash
|
f37b1b00030b1f3f |
|
VISUAL
colorHash
|
38000000238 |
|
VISUAL
cropResistant
|
b3b3a7ab663271b3 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.