Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160E1DE71568CDC2EA15281D0EA787B7A219A9287CF5E0218E7F4033E8E59DC7FC3656C |
|
CONTENT
ssdeep
|
192:hjoS/V59fYCgs9fskgy9fqEcXsqLDgYD6u:T59fgs9rgy9CpsqLE06u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccc333da8d793924 |
|
VISUAL
aHash
|
207c0038381c0000 |
|
VISUAL
dHash
|
c9ccf67273312c34 |
|
VISUAL
wHash
|
607e72b9b9bc9412 |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
690acc2bcc2b8ee8,9393b3ea49491899,1032c45432b35d5e,3929ed999391fa16,c9ccf67273312c34 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.