Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122221FAF9309076A2F528645710D17EFF34A109EB39284F97DE8D0BD33BDA5505329CA |
|
CONTENT
ssdeep
|
192:fuPu3XCoZt/7XySP/L3spV7Oe4ZricTYOtV6f/ChIxJRnhN1kNkkU:fYu3XrZt/7CSz3spV7Oe4d1EOr6fggJZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b706c83f3fc9c025 |
|
VISUAL
aHash
|
ff37ff0703ffffff |
|
VISUAL
dHash
|
76e6865e5e0e1e16 |
|
VISUAL
wHash
|
1b17770303e7c3c3 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
76e6865e5e0e1e16,03279c9ce5cc9f1e,161ece949a8d8e4e,020dedce9e8ce97b |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.