Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2A34AF1E110A61C077355DDF1BB6945322EA11BAF150C90923CD9F922E6CACF92BED8 |
|
CONTENT
ssdeep
|
1536:JWOl2Q2W7JFtS9OcqknSdWOvpxU++QzIoc7I6rRuQ2:JWOlBgOdk0WmxUnBF92 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33e24996d343cda |
|
VISUAL
aHash
|
007c647c7c6c7e60 |
|
VISUAL
dHash
|
f4ccddc8d8d8c8c4 |
|
VISUAL
wHash
|
007c647c7c7c7e70 |
|
VISUAL
colorHash
|
30000010042 |
|
VISUAL
cropResistant
|
231d082cc5b63271,dc5861d8b270f4c4,70717192cce8920e,f0e9c64a1f979ae8,c35171111a8dd972,f4ccddc8d8d8c8c4 |
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.