Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D38329A43A59F9635AF3439310EF1103F378152B580D4D20A354EDEE76ACC9BA067F9A |
|
CONTENT
ssdeep
|
1536:TLXwvb9WzQo2h20VTj/oDtVPTMnEWPGhuXjz6aKU3:TLXx0MujgDnaGIjzb3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3ce99cc6431cc99 |
|
VISUAL
aHash
|
ffe7ffe7ffffe7e7 |
|
VISUAL
dHash
|
322a2a4d28324c4c |
|
VISUAL
wHash
|
d8c0d8c0d8d8e0c0 |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
322a2a4d28324c4c |
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 212 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)