Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FE1F0E1D404ED37435386D9A7FA6B1B76D1C349CF030944A3F883AB5BDECA0DA22599 |
|
CONTENT
ssdeep
|
96:Tkf61DtSTBJ8v67GvGSFtGRFNaXtHFH2XNHFvCX5z/9OY3zEmSTyR:Qf61DcD8icftGA8IzEgzEDk |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)