Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13702AF31705D0158315678E3E0F631A6BB1B167E7E8718F075B2DE1AC2AC66FF061974 |
|
CONTENT
ssdeep
|
96:7xro4AuMGGNlvCsl7pR6MqkDZX5nSns08FrEB06BnsHtILXPu:FrnWDJ5ks08tEGKsH6L/u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bdc1c23cc3693c96 |
|
VISUAL
aHash
|
ffff83c38383c3ff |
|
VISUAL
dHash
|
0237071717073700 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17030000080 |
|
VISUAL
cropResistant
|
0237071717073700,e30b173333173737 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)