Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8327233E500DD294E9B518CF2C09A88515DD349FB3148CAB1A490FF7BC4DF069A93AD |
|
CONTENT
ssdeep
|
192:0O3JfizYcjc9chsIegpRaApPacIxeUKXMcnthWeNWbnfMmUU8VCoMg:Liscjc9chsIegpR5PHUKIfMmUFCoMg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0608f1f8f1f8f10 |
|
VISUAL
aHash
|
0040c242460604ff |
|
VISUAL
dHash
|
bb9e9e9e9e7cfcf8 |
|
VISUAL
wHash
|
01e3e3e7460606ff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
9a9e9e9e9c7cfcf8,686070b4c0515d68,7b9e9e9e9e9c7cfc |
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.
Pages with identical visual appearance (based on perceptual hash)