Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184D370D56618438CA147CA7CEF2FFE05131FB5AABA548680298EC26C95CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:wi0RQ7HQIS+ZVmxXBnkzcozts03DQh4FsR8MLqc2BFsR8MLqcMv:h0RQ7HbSWVmxXZkzcoztsKDQNdm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2b247e64cb63919 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
4c0c1c0400001010 |
|
VISUAL
wHash
|
c3c3c3c3ffff0000 |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
4c0c0c0c0c000000,0008103010100000 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.