Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6D2833160103A3F129793D97B91FB6EA3E39249E786081653FC835E1BA7E50DE1352B |
|
CONTENT
ssdeep
|
768:DSFy5Njk46WioNkiFE1O7sOy2+y9BH4crIe:K46Wty1O7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f82ecd2d80c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0808ccc0cc0d0f00 |
|
VISUAL
wHash
|
00ece0203c07ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0480a00458988000,9008dcc0c0cccd0f |
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)