Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17362B75102C8AEFF1A220D9DFA2DD395E052616BC5171F01BBA59FEC4FC6A61CC1A2C3 |
|
CONTENT
ssdeep
|
192:WLc2NW54vNKostNCBOzl16ldXN7oMZuGRXrnKRp83aeTaumLqkYHvB:WwSNKcBOpueWbnKRe3RTaumLcB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e41fe84637cc19c |
|
VISUAL
aHash
|
000000003fffffff |
|
VISUAL
dHash
|
f7fff3f3fe603535 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
030010001c0 |
|
VISUAL
cropResistant
|
5b499595aac25656,f3fffef032353535,3d8cced8ce44d4ae,f7fffff7f3f3fbc6 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)