Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3F141E1D041ED7B471286C4E7BA6F4BB291C74ECF07094193F882AB9BCAC60CF15599 |
|
CONTENT
ssdeep
|
192:QuXAh2QnbzHJ1zMUGowcCuZ9a0Xa+T7y4bhn:Q/pZzwAZkVS7B9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6493939ac3939a |
|
VISUAL
aHash
|
f7d3d3f39fffffff |
|
VISUAL
dHash
|
0626262626302016 |
|
VISUAL
wHash
|
f18181818f8fffc1 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0626262626302016 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.