Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A532C30A404AD3B01DB85D96672576A62F98349C6230689FAF9C3ED0FEFC19DE7B114 |
|
CONTENT
ssdeep
|
1536:K4444KsIxisNXH6+UFW47NPwpdF1vBT1B4ZU:BuuYJ7NPwpdF1vBTR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac2cd52b12d3c56b |
|
VISUAL
aHash
|
0303030301ffffff |
|
VISUAL
dHash
|
7737373f3fbbc9cc |
|
VISUAL
wHash
|
0303010301ffffff |
|
VISUAL
colorHash
|
17200040440 |
|
VISUAL
cropResistant
|
77373737373f3f7f,3f00dbdb6d4dd0c4,f73737373f3f3fff |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.