Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10852B6F573A0066E709787E5B654733A60A9D2DFED9B9048F1BD82A417CBC88FD23900 |
|
CONTENT
ssdeep
|
192:auhmVevhTaLLvvxYeVtAxhR55QZr/1o6QpI3iona2R:nhqe5SvCU+o1jionL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec181e6f46466e56 |
|
VISUAL
aHash
|
00cfdffffbf3ffff |
|
VISUAL
dHash
|
649694a497a7c424 |
|
VISUAL
wHash
|
004246565e50721e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
9696e49887e7c024,6064e4e46718e0c0,00104cb2b2320410 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)