Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1900242F1E050ED37075381D567B67B2B37B1C745CB420A6463F893AE6BCADA0CB12899 |
|
CONTENT
ssdeep
|
192:QnZDMGngknzDJ1bnWt8iUz0bMYx7eFnii2EuJ3eDr/8F:Q5MkzNVs1Uz0YKeF52Ey3ev8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad6c10fa87ce88da |
|
VISUAL
aHash
|
c3c3dbf3c3cf8703 |
|
VISUAL
dHash
|
170f33270b1a2ddb |
|
VISUAL
wHash
|
c3c3c3f3c38f8701 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
170f33270b1a2ddb,6060200240685850 |
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.