Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD1464A1B2D43B6305FB89DBF0956793FBE1009DC0610DA03AAC84C6975BD6153B2E7B |
|
CONTENT
ssdeep
|
1536:7aBee9Ree5CeeuieehbiCeefGeeQe6eVeDeie8e9edeVe6epeqe/HDxPSWrKMdtr:WjxPSWldt4eAXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c939398389ce3 |
|
VISUAL
aHash
|
ffe1d191ffffc1ff |
|
VISUAL
dHash
|
3027272703180b2b |
|
VISUAL
wHash
|
99c18191ffcfc183 |
|
VISUAL
colorHash
|
06200018002 |
|
VISUAL
cropResistant
|
3027272703180b2b,e96b4b4d1a0a0698,402852e868542200 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)