Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111234BB26722B4A843DB91EEF73C2D56B2C1589DF8CB4450F5C95A8E13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ai+EsZx8/G804eDaw8MDBYwfMDBXw9r82+/9dtZkDieE565TmHEnkvdhfVPqDv3A:ai+EsZ/8veDaw8MDBYwfMDBXwh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3fc0c0c02d38 |
|
VISUAL
aHash
|
010101ffffffffff |
|
VISUAL
dHash
|
7f7d7f3f3f231131 |
|
VISUAL
wHash
|
00000083c7ffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
7f7d7f3f3f231131,2c249b1b9232d34f,fffffffcfffdffff |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.