Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EE2D59B310816E5C1F38FD8981169547146EA9FC9728330C2F84E7A27D29A5B78CF7E |
|
CONTENT
ssdeep
|
384:TSdO6T4trtj9V1EC2mn+9N457lxyz4M7dbO0vsFiYK/M74UZh3gl4oyPZmNHhsvo:OoXniRhscY7UUjJo+Zlo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac1cd227d2925bd3 |
|
VISUAL
aHash
|
ff9b1a120000ffff |
|
VISUAL
dHash
|
f6363626666a6511 |
|
VISUAL
wHash
|
ff9b12100000ffff |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
f6363626666a6511,67474bc39f1d1c0c,a7a3a6ce0b2b3137,03232322424646c6 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.