Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163822F72E155B93306A789E261729B6E72E2C348DD130211E3FC83DD0BEED8AED13595 |
|
CONTENT
ssdeep
|
384:9CK1CHQOAXeyDoE4PQdmlIaZUo4hAdgP7AvgByM/CdDZVWp4SEEk:9j1XXeyDoE4PQdmlIiUo4hAaP7AvgtyP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fd5b4d4d32694306 |
|
VISUAL
aHash
|
00ffff8f8ff3f3ff |
|
VISUAL
dHash
|
23060c3c3c72120c |
|
VISUAL
wHash
|
00f2fe860713f1e7 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
23443c3c3c52120c,00003444cc443244 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.