Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B32EB7072501ABB91CBD2E1B675AB5BB2C8CB4FCA57D601A3F983844FC3C92DD88214 |
|
CONTENT
ssdeep
|
192:qZtrZSf/rKSHnC/MnwtwaocujPJ3O5uxTRWAwzDfS:Mt4jHnCEnwpuj1nJRWAwzDq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3333313cccccccc |
|
VISUAL
aHash
|
e7c7e7ffefe7ffff |
|
VISUAL
dHash
|
4d4d4d324c4c322a |
|
VISUAL
wHash
|
e4e4c4ccc8c0fcfc |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
4d4d4d324c4c322a,1f9bab8ff9d9ccde |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)