Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10663633123183E3DA41787E4F7A1B779126D9285FA1FD06CA5BC52712BC7C88EC6B984 |
|
CONTENT
ssdeep
|
1536:k5ONxNgR+sMMMMTMBHbssssussssGssssDHssssQprt+:k5ONxNgR+zB3It+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc98b3e646b3c8cc |
|
VISUAL
aHash
|
ff00100000ffff00 |
|
VISUAL
dHash
|
49f0703125371a61 |
|
VISUAL
wHash
|
ff18181830ffff00 |
|
VISUAL
colorHash
|
3a018000c00 |
|
VISUAL
cropResistant
|
010c4d4d4d4d0d41,13000112400e9640,f0f0f03230212537,0000606012616158 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)