Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128E392D55618138C9057C97CEF2FFE05131FB1AABA554A802A8EC26C96CF8D2F72752C |
|
CONTENT
ssdeep
|
1536:ng0RQ7Hs7M+9VmxXB+kgc1ztsxbahk9HUCvVfVFglFsR8MLqc3XFsR8MLqceo0:g0RQ7HKMmVmxXUkgc1ztsFaYHjfVvOg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8008d6ef69e9d6e2 |
|
VISUAL
aHash
|
1f0f0f0100ffffff |
|
VISUAL
dHash
|
73fdfdd3cbcc0e0e |
|
VISUAL
wHash
|
1b05070000fffff7 |
|
VISUAL
colorHash
|
07e10000000 |
|
VISUAL
cropResistant
|
73fdfdd3cbcc0e0e,974772c7effbe5ec,0f130001030f3323,f81f039ccf851333 |
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 154 techniques to evade detection by security scanners and make reverse engineering more difficult.