Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D33412C91C169330136A1C0B97AAF5AB1C35F56CAA61E1506FCC31E3BDBE1CDC5A5B8 |
|
CONTENT
ssdeep
|
1536:abXFK44LR6M1e5AIIkMk+GjMqKM4wMAe5UHKSRbWehPfZVDlyUD:0XZBe5U7pDDlyUD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d440a3beacae9c8b |
|
VISUAL
aHash
|
ff7818000080ffff |
|
VISUAL
dHash
|
a4d0b2a2ba369e1c |
|
VISUAL
wHash
|
ff7858000002ffff |
|
VISUAL
colorHash
|
06002000080 |
|
VISUAL
cropResistant
|
a4d0b2a2ba369e1c,0e8e7c5c3034942c,696d6de79a999092,2460c85888804f1d,34f8d86163497a62 |
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 89 techniques to evade detection by security scanners and make reverse engineering more difficult.