Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAC277B2644474765397D696F725BF8AE193C10BCF990680B3FA822DCAC3F10D87199E |
|
CONTENT
ssdeep
|
384:F5HLX50oNnzuvvbeSRbmBvt4KjRTlJLTW6ZxrtIckN1AdN:TLX5JvOKRTKuicWQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea95a295cdd8b234 |
|
VISUAL
aHash
|
ffe3e1f9b0a1e0e0 |
|
VISUAL
dHash
|
e54f0b33634d4d4d |
|
VISUAL
wHash
|
ffa5a5f8b0a0e0e0 |
|
VISUAL
colorHash
|
06600040001 |
|
VISUAL
cropResistant
|
e54f0b33634d4d4d,3060e0e0e0c0c0e0,094911c661666e6c,22266e97968a8b5b,1d2d4e3471210953 |
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 179 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)