Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FB3CC33411875270537C6D430BA5B37E2A69E4FFAA70B010EECD7E62BEAC90755B11A |
|
CONTENT
ssdeep
|
1536:v844bStsU8PjpMq1Wiz32d3xx74W2curuVdZ:LQGJkjctZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
969669693979691a |
|
VISUAL
aHash
|
0076260606000000 |
|
VISUAL
dHash
|
ccececccccd66961 |
|
VISUAL
wHash
|
007e7e7e6e7e1018 |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
a0b0a0b2eaea92a2,ccececccccd66961 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.