Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1E111E1D454ED37435286D9A7F66B0B76E1C345CF030944A3F883AB6BDECA0CE22599 |
|
CONTENT
ssdeep
|
96:Tkfp1DtSTBJ8v67Gv0SFtG+FmTeXmfHFf+X9HF9Y7mXwz/E9Y3zEmSTyR:Qfp1DcD8icBtGlxfQPIjzkgzEDk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4cf67674cc4ca2 |
|
VISUAL
aHash
|
000018000000ffff |
|
VISUAL
dHash
|
64b032b214000000 |
|
VISUAL
wHash
|
9100181800ffffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
41a2a2a2a2a2a241,82a2a2a2a2a2a200,82a2b28c32b2b2b2,0000000000000000,74a432b2b2300c10 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)