Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCC29431A1006B37529382DDB2B16B2E61E3830ADA95162693FD93AD4FE3D54DF33419 |
|
CONTENT
ssdeep
|
384:5+QepHqiIRx9Dec9lxVA/zdt2cpyRE9zmIYsOy2+y9BH4cCUIe:5+QepHql7A/x4tE9a7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9829bca9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
98ccc8c8cd8d8b00 |
|
VISUAL
wHash
|
0cf470006445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98ccccc8c8cd8d8b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)