Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116E3675342146A2E4437C3C075759B77D1BAE98FFAA70A404FDCC7B62AEAC50B81B52C |
|
CONTENT
ssdeep
|
1536:H5ep1UgQmTa3MZo+Hd1+/M0b1jjC3leUKb+AdDj/LDsRwHS:H5ep1OQMz43fg++fu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9852f9af69a3823a |
|
VISUAL
aHash
|
fd1c1c1811ffcfdb |
|
VISUAL
dHash
|
29b4bcf1636e1b33 |
|
VISUAL
wHash
|
fd1c0c1001bfcf9b |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
29b4bcf1636e1b33 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.