Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183C382D55618038CA14BDA7DEF2FFE05131FB1AABA5486802A4EC26C95CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:16ze0RQ7HK7M+ZVmxXB2kgc1ztsEgahyPlFsR8MLqcvXFsR8MLqcMv:Ize0RQ7HIMWVmxXAkgc1ztsNaM4Gm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b84bc3c38e34b3b4 |
|
VISUAL
aHash
|
f9d987879fcfc3c7 |
|
VISUAL
dHash
|
2b333f3b33191717 |
|
VISUAL
wHash
|
ff81818183cfc3c3 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
2b333f3b33191717 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.