Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179930E72A27B2822511FB2D4A2B48B192683DB89C7434BF6627D52F67FCD8757D0318C |
|
CONTENT
ssdeep
|
1536:GMupAHDDD/OVDTiDJye6umeeeYkDI7tRg+fDxDUtm60D1BDb/ZCBENboRauDz4cQ:R3/OhTMQ+IoC1UtAzBmpDHrx/hSKhyf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936cc93893d3c4ec |
|
VISUAL
aHash
|
00007e6e46466e6e |
|
VISUAL
dHash
|
da2be4c88888d8d8 |
|
VISUAL
wHash
|
58207e6e46467e6e |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
da2be4c88888d8d8,4459a47811171b22,97c46931f1e1a0ac,4b433198d8d08c4d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.