Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A35219778A806FBB06A666E237395344F2D940DEC9336F42B2F401DC5F99FE5645320A |
|
CONTENT
ssdeep
|
192:44esHeskXXzfakaJXdjUQbnhjoWrbhW52wTDBcJcP2AT:qDfL8NgIjoebY5XTDuePlT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd1401c19ebeab6a |
|
VISUAL
aHash
|
ff0000ffffffffff |
|
VISUAL
dHash
|
e0dc27200313030b |
|
VISUAL
wHash
|
3e0000bfff81ff81 |
|
VISUAL
colorHash
|
06000007000 |
|
VISUAL
cropResistant
|
e0dc27200313030b |
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.