Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163154733421935260537C6D430A99B37D2A6DE5FFAE70A010EECD7F72BE9CA0745A11A |
|
CONTENT
ssdeep
|
3072:1QgQ8Lq8QAQ6vj2F2LAiypxyGWXqdkCjYReIJGGqTqB/oqLUOI:hQsI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b653ed29d6033652 |
|
VISUAL
aHash
|
ffff0406060303ff |
|
VISUAL
dHash
|
4833ecccecbf6324 |
|
VISUAL
wHash
|
ffff0406040303ff |
|
VISUAL
colorHash
|
03002400400 |
|
VISUAL
cropResistant
|
4833ecccecbf6324,b32eacafacacaeae,1114121413968ccc,460d0db289894b4b |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)