Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6E32970B3157419653789C6B0A6630B7224821AD10F4B60D36BE9BBB9CE47B7673BCC |
|
CONTENT
ssdeep
|
1536:HoZiMqUEoZiMqUHFDykSWS5MWIElfVTVq53QlHxh8N6g8XXhjaPnQWT+96luJ+ph:9ZVTj/mN6ZXt196U+ph |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3923c3c6ec39396 |
|
VISUAL
aHash
|
002c7e7c6e640000 |
|
VISUAL
dHash
|
9dc8c8c8ccdc6145 |
|
VISUAL
wHash
|
443c7e7e7e6e3080 |
|
VISUAL
colorHash
|
30001000c00 |
|
VISUAL
cropResistant
|
9dc8c8c8ccdc6145 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.