Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE420FB08489AA370293D1D56662AF17F3D18108DF6B0A015BF8C3AD0FFAD92EE47755 |
|
CONTENT
ssdeep
|
192:5HgtEoROnkWWBD/Vqp/RIjOZsoC4syNoC8+:5Hg2oROnkWWl/VqpGOZC4scZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63436b6941367ce |
|
VISUAL
aHash
|
06003c3c7c382c3c |
|
VISUAL
dHash
|
cc2cd0d0e4e0c8c4 |
|
VISUAL
wHash
|
06007c7e7c3c7c7c |
|
VISUAL
colorHash
|
38007400000 |
|
VISUAL
cropResistant
|
c0805a4f4d5a00c0,cc2cd0d0e4e0c8c4 |
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 1378 techniques to evade detection by security scanners and make reverse engineering more difficult.