Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149F123718424D93FA5D2A6C4ED35AF3B13C2C340C3174A9526F54B9ABECAD54CE103B6 |
|
CONTENT
ssdeep
|
96:xoxOZYgh2nhivtT/cZd7HhABmqR/hEmi9bSAyNYm5Z:xoxOZxs0xc77IR/hEmiu/Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b86d4f4d4d196619 |
|
VISUAL
aHash
|
93c3c7c3c3c3cf00 |
|
VISUAL
dHash
|
320e9e1e1e0e1294 |
|
VISUAL
wHash
|
03c3c7c3c3c3cf1c |
|
VISUAL
colorHash
|
07000030040 |
|
VISUAL
cropResistant
|
320e9e1e1e0e1294 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)