Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18412963401490C7E9113D7B4F4D5B736607BE34FEA6BC458B9B40B278BCBE99D822A64 |
|
CONTENT
ssdeep
|
192:Hh1NlMTpOq07lG5bgyzSOzePBxtB2fdHsK0b:Hzf7I5bgyzSOzePBTB2130b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6664d6171594d66 |
|
VISUAL
aHash
|
00e7e7ffe7ffffff |
|
VISUAL
dHash
|
cc0c4c1c4c280000 |
|
VISUAL
wHash
|
00c0c3c3e3e3f3f3 |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
0e4c0c4c4c200000,0000228ccccc3344 |
โข Threat: Phishing
โข Target: Optus customers
โข Method: Credential Harvesting
โข Exfil: Unknown (likely to attacker's server)
โข Indicators: Fake domain, replit.app, email/password form.
โข Risk: High
The attacker creates a fake login page that mimics the appearance of a legitimate OptusNet login to steal user credentials. Users are tricked into entering their email and password, which the attacker then collects.
index-D9oJiBmE.jsPages with identical visual appearance (based on perceptual hash)