Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147D28372B040273B5293C3C57762E35EE2E29249DE89090562FC8BAD5FD7E90DE2351E |
|
CONTENT
ssdeep
|
768:heFy5Nj7ZHTnSpPFDYEKTjdeE1b7sOy2+y9BH4crIe:TZH2pP/KTjMs7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d43ab929c5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc5c3c3c98c8300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,dccdc3c3cbcd8c24 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)