Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA0120120001ECB2C5A1F5B09391990116CAC720CB971800ABFCD7FD3AF5CACCD875A8 |
|
CONTENT
ssdeep
|
12:hRwMy7F8L1PZLEIzicYuPKH833YPKHPf35cElBcjGuuRStGuaHWgTK5V5XKkgFp/:hR/CcVZLvzFJvxcElB4oS723F/N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
888c6c7367367a33 |
|
VISUAL
aHash
|
10391c3e7c581c01 |
|
VISUAL
dHash
|
e57370f4d9b9e8b1 |
|
VISUAL
wHash
|
103d3f3e7c783c41 |
|
VISUAL
colorHash
|
06e00000040 |
|
VISUAL
cropResistant
|
637360d491b1e8b1,999323ab2bf868e8,8ebc94d9786689d0,e57370f4d9b9e8b1,c3c3e56522f153ca |
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 28 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)