Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B13A496314866E5C2F38EC8981065942142EF5FC9318770C2FC4E3A6BE39A57789F7E |
|
CONTENT
ssdeep
|
768:dTCpOkLiRPJIeCmmJzhTeo5PKhs4jY7yUjJoHVXl:dTCpOxAluM70l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a392ac52d5acd8bc |
|
VISUAL
aHash
|
7f6fe76764200303 |
|
VISUAL
dHash
|
cdcd4fcec8ca1656 |
|
VISUAL
wHash
|
ff6fef6664000303 |
|
VISUAL
colorHash
|
1bc00000000 |
|
VISUAL
cropResistant
|
cdcdcdcfcecec8c8,8e7cf6b6b2b2b2f2,27a7f37afabe3eeb,c9c8b0b088b18e8c,cdcd4ecec8ca1656 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.