Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3132173304D9F612A42169772293B89B269AE44BF73F8C090D5129E6BF5F11D822DF3 |
|
CONTENT
ssdeep
|
768:U4DIw0WTcvlhH2Wn/5aEo4eRAv53SdhYRtpiC9pq7JdC/iVHra6ChfqdWm6NJFy3:9DW5WWn/QEURAvlYgdWasi2wT4r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96974d690b67323c |
|
VISUAL
aHash
|
383e7e7e3c74103c |
|
VISUAL
dHash
|
f1e4cccce8ece4f1 |
|
VISUAL
wHash
|
383e7e7e1c7c003c |
|
VISUAL
colorHash
|
30000039000 |
|
VISUAL
cropResistant
|
a869c7c5c5dd85d3,18486c646acc4c8d,38d878b07252d293,b8b8f8b89c88494d,33161e2d1a9a5c55,f1e4cccce8ece4f1 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.