Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11913D723C288363B12D341D1A775779EA3B6C184EB021624A9FE430E1BDBD59DA33F95 |
|
CONTENT
ssdeep
|
768:mBzd/dht1UDUMPkZiRaCQsMpSuu3R6NUlXEdMTyg2fC:MiRrQs3RcUlXmgP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92393cc763247d8b |
|
VISUAL
aHash
|
081c1c247e3e7e00 |
|
VISUAL
dHash
|
3a3931ecc8e4e451 |
|
VISUAL
wHash
|
0e1c1c047e7e7e3c |
|
VISUAL
colorHash
|
38200048001 |
|
VISUAL
cropResistant
|
dd9582cf8f1329c8,d4aabab2b2b6f2d2,d09e96b4a5eccaea,3a3931ecc8e4e451 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.