Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AC16A71A186AD73015386E09737572BB6D0864ACE57061187F883DEBFDACA4EE1B150 |
|
CONTENT
ssdeep
|
48:pStC8MDH3AHfXkDHChDHRsDHWfXkDH3GrRMDKSIBIZBQLBYHWcDID84TrHzh5gyZ:fcbnMmW4XT4Hfe+vFTQWa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f16c336664993966 |
|
VISUAL
aHash
|
c3c3c3c3e3c3e7c3 |
|
VISUAL
dHash
|
968e9696868e969e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06202008000 |
|
VISUAL
cropResistant
|
968e9696868e969e,9a867169696912a4,cc2bd6f4f075234a,33728cce8eccceaa |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.