Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14212FDE1C454ED3B436256C9FBB56F4B77A1C384CF06094053F8426BEBCADA0DB2259A |
|
CONTENT
ssdeep
|
192:QhgzYhhTA/l8iI4wySnazSNX9Ry61k9K6Tc:QoGTAd17wLnkoRvMK6g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649b9b8c9393cc |
|
VISUAL
aHash
|
fff3f3f3f3f3ffff |
|
VISUAL
dHash
|
2626262626061e00 |
|
VISUAL
wHash
|
00d3c3c3d0c0c0f8 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
2626262626061e00,717178797f7f7f7f |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.