Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6E13F309069DC7B614B85D4B2B4DF0E33E5C241CB634B0423FCA7AD6EDAC66ED26294 |
|
CONTENT
ssdeep
|
96:TekCnUpkOX/Oup1o4Q301C5bfn8UnSQkRhfTR1O:nVpkOX/OugEw98UnlYhbR1O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b676c931459c1dc9 |
|
VISUAL
aHash
|
e7c7c7c3c7c7ffff |
|
VISUAL
dHash
|
8c0d0c0c4c0c2204 |
|
VISUAL
wHash
|
c2c283828283ffff |
|
VISUAL
colorHash
|
070000100c8 |
|
VISUAL
cropResistant
|
8c0d0c0c4c0c2204,1660e0a6a2a4f072 |
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 395 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)