Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AC2C9BB4180033E02C301BE67896FA9E368559E561137907C9ED1E927F3B5D9A3B6CC |
|
CONTENT
ssdeep
|
384:hdX6lV/4iQTWSeQXymHHaH3NFz5n/2wj0mYwsehP:XqlVrWdXsH3Npp2wAmYG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6c96839cc686ce |
|
VISUAL
aHash
|
c3c3c3c3c3e7c3c7 |
|
VISUAL
dHash
|
2f0f0f0f330f0f0f |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
2f0f0f0f330f0f0f |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.