Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156D10DB19008A93752A3C3EDB2B1A74FBB92C985C987168AD1F6C30D1FD3EB0DC46255 |
|
CONTENT
ssdeep
|
96:3g4HJZnoGyPOmGjZzFbAfwpbwlmzClPCUbTuGWArGo4u7c1NZ:3ggJCFTO3dt7er2f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe7e5ca161616984 |
|
VISUAL
aHash
|
809c8080ffffffff |
|
VISUAL
dHash
|
1b38340320202024 |
|
VISUAL
wHash
|
80808080fffff3f3 |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
1b38340320202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)