Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159B2797C02A059BF145780F2F634BB26B2C9D34CD6236A85A3EAD26F1FC9C53DD22194 |
|
CONTENT
ssdeep
|
192:tQb3Ei0jwmdgUqXOTKuTUn+AZmCCv2eDEcqtLr9wm8OlqiiA/hrHt2/ICfFPV:tQbUi0LdgUqCe9MscqJr9wm8OlLCfFt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4b3d94c92726c9a |
|
VISUAL
aHash
|
ffe3e7e7e7d3d3ff |
|
VISUAL
dHash
|
2d0a4f4d0cb2b215 |
|
VISUAL
wHash
|
81e3e3e7c3d1d181 |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
2d0a4f4d0cb2b215 |
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 194 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)