Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0B275713946A83B215B42DFD32B731D22D2D2C5DB47225492F483289FF2D95FEA3294 |
|
CONTENT
ssdeep
|
384:4q4444dNjVzjh7sOg2DbLwyVxab/z8sAwZH:4q4444d3Xat |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e7701cdcd20656d |
|
VISUAL
aHash
|
9c8484949c9c1c1c |
|
VISUAL
dHash
|
312d0d3d3139b931 |
|
VISUAL
wHash
|
9c9c849cbcbc3c3c |
|
VISUAL
colorHash
|
33002038000 |
|
VISUAL
cropResistant
|
444d33236353790a,6666676733573b0b,66672d6d6d396d80,33134e2e6a736320,312d0d3d3139b931 |
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.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)