Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F46295312284293F9A5B86B8F594F328939ED198D337DA6DB6EC007227C2856DD17398 |
|
CONTENT
ssdeep
|
192:k4ivKsmWmYHY9Y+xN8Gxj3sV/vYyO4qb8mbWVHqzLko21ZYBLtdAFppsin7Geg:khvKsBmYHY9YSFw/vYyskNYBrAFpGahg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4dabbc2c6c0b99a |
|
VISUAL
aHash
|
ff00007070600200 |
|
VISUAL
dHash
|
697c37c6e5c7f6f2 |
|
VISUAL
wHash
|
ff00017270733f3b |
|
VISUAL
colorHash
|
19007000000 |
|
VISUAL
cropResistant
|
0009014969010106,7c34c6c4e7c6f6f2 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.