Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E504ECF182939D7B01B7C0D266BEAB3F72C1A25CDD53028593FD93A84BDED44B922845 |
|
CONTENT
ssdeep
|
1536:UO2lk/Asm4DJ4RPUPl9h73P/LpTT2F2CWDe/jL0057lHnUb/rol16kVaWOq5l+AR:clmBU8Secjqi5uwlmyD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5b14a7a87a58d78 |
|
VISUAL
aHash
|
8080bbbf80a0803a |
|
VISUAL
dHash
|
775476464c644266 |
|
VISUAL
wHash
|
90bcbbbfa2b0803e |
|
VISUAL
colorHash
|
18007000000 |
|
VISUAL
cropResistant
|
6af89cecf4cc9818,775476464c644266 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)