Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B234B1181C1CD11A082D1B0E330975E5790CEA1CBCB4B7527E66BABBEC7CE5DFA5298 |
|
CONTENT
ssdeep
|
768:HP6retNPKAbeqRsHZ/WdwNEefEvMHbH4HKRBqK+KApYUz2V:HSqTCAbeX5/pEsEk7Yq7tJA+Us |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
929c8c6367cd6333 |
|
VISUAL
aHash
|
3c1c3c3c24243c3c |
|
VISUAL
dHash
|
f8f0f8d4ccccc8cc |
|
VISUAL
wHash
|
3c1c3c3c2c2c3c3c |
|
VISUAL
colorHash
|
03e00000000 |
|
VISUAL
cropResistant
|
f8f0f8d4ccccc8cc |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.