Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B63B7604246461AE697E1C0FE32AF4A5385834AC3074D6CB7F36927FE8ED74ED39690 |
|
CONTENT
ssdeep
|
1536:OxxpzmU4xcsK4usrGbSntyVA1xUL20dgh6XEikeeekeee8eeeQeeefeeeZeeepeA:OxxpzmF389P/n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db91f2e2e1c8c8e2 |
|
VISUAL
aHash
|
ff001808091800fd |
|
VISUAL
dHash
|
793830535ba33919 |
|
VISUAL
wHash
|
ff08183969d880ff |
|
VISUAL
colorHash
|
00038000000 |
|
VISUAL
cropResistant
|
0009696161090078,8080c02b29a08080,3939393939399200,3838305b5ba33939 |
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 136 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)