Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171F251B05C8AE977225355D1E631AF08F9E3A399CB660E4057F692D723C2DD8DC4B8B0 |
|
CONTENT
ssdeep
|
384:/nSJNa+AhcATomKtAq24MZ9yTL69qgKcUgKjgK+gKIgKYgK/houo2pt/uY:oa+sxoaUT+9qgWgcgHgHg1gaouX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e99298699a6b6b92 |
|
VISUAL
aHash
|
fdffe7e7dfc1c3ff |
|
VISUAL
dHash
|
7b544d48b4828a9c |
|
VISUAL
wHash
|
b925247ec3c3c381 |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
7b544d48b4828a9c |
โข Threat: Phishing
โข Target: SEUR customers
โข Method: Impersonation
โข Exfil: JavaScript potentially collecting credentials. Exfiltration target unknown.
โข Indicators: Domain age, domain mismatch, obfuscation, form submission.
โข Risk: HIGH
The site attempts to steal user credentials by mimicking the SEUR website and using social engineering tactics to get the victim to enter sensitive information, often leading to a fake login form that's used to collect login credentials.
WebSockets may be used to exfiltrate the stolen data to a remote server. The extracted intel contains WebSocket URLs suggesting a potential communication channel for data exfiltration.
index-79d6461f.jsPages with identical visual appearance (based on perceptual hash)