Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA63A632A25658039097D2D5F2719B1F22828389C7174FA163F857BE7ECACF56E122DC |
|
CONTENT
ssdeep
|
1536:4brMUaOUbJo+Mrr2PYPsuIIu6Rbueu1uuuouaRPozXH/ZdBf+mkR2GRleVO+eH96:GrM/wvS6ilw1TJkmkR2k8VleH99hG3SI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3246c324dcfc996 |
|
VISUAL
aHash
|
00207c7c0c6c7c7c |
|
VISUAL
dHash
|
c4ccd8d8dcd8d8d0 |
|
VISUAL
wHash
|
60407c7e4e6c7e78 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
c4ccd8d8dcd8d8d0,f0ec496198dc84fa,7324849d9d98dc71,2bebc9f92d2d250d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)