Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A934AB8F210A6796A7742A6B06A504E333F520FB84D8124A35DDE9931E58CDD437FEC |
|
CONTENT
ssdeep
|
768:dkCJ7Vy+gEnFV5tTCDhXaWST3ZiTXfTH/d5hhMuHUD/ndxJJsuHziWOMYggVuHsK:ty+v/adX4CZLONHt3JdPq4O10zB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6a9090b4676759 |
|
VISUAL
aHash
|
ff000000ffffffff |
|
VISUAL
dHash
|
085547c700440000 |
|
VISUAL
wHash
|
60000000bdffffff |
|
VISUAL
colorHash
|
07640010000 |
|
VISUAL
cropResistant
|
085547c700440000,3f7bf6b672e3e3fb,fc96b2b6967777ff,0de45cf4e5793266,644c44baaaebf1f9 |
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 256 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)