Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7B530D39272052DAD2648D4A05A677F257C36CDBE01CBF07ED9C639A98F0E62630EC5 |
|
CONTENT
ssdeep
|
1536:1WVOVCY2ERLmemjeyL44ReeyL4cneeyL4rFdR9mGmCeeyL4aweeyL4+lARhfeeyt:1aFB92+I/MGmVfqMmSYVL61UiOQkGrMK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a719920758b75 |
|
VISUAL
aHash
|
efffc3c3e7ffc3c3 |
|
VISUAL
dHash
|
96968e8e9648968e |
|
VISUAL
wHash
|
c3c3c3c3c3e7c2c2 |
|
VISUAL
colorHash
|
07000008600 |
|
VISUAL
cropResistant
|
96968e8e9648968e,565656291b56565f,91c9ad52526babad |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)