Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA636938A3805E7A00CF47E1A170AF2AD1A9D789DB678D4BF6FCC3A617CAC44CD56254 |
|
CONTENT
ssdeep
|
768:iBPst5wMSBnxex6CJiCUxvqsZvCDjNjyAh/TjcBLjbK2/ryu0i8GqzSAGZRAMWtK:ZQ4ifxisZvWyWMRua138HSMU0sl7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b72a55d35555a45 |
|
VISUAL
aHash
|
073f3c0c0c1c1b1f |
|
VISUAL
dHash
|
fefde9f9d9f9faff |
|
VISUAL
wHash
|
031f3d3c1c1c1f1f |
|
VISUAL
colorHash
|
06400c40000 |
|
VISUAL
cropResistant
|
ffffffcc0e070b27,b0b27a7c7c7c7eff,fefde9f9d9f9faff |
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.