Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147F102E1C044DC3A135385E6B7B5275F6696C355CB020E8863FC52FA5BDBCA0CA23A99 |
|
CONTENT
ssdeep
|
96:Tkf07khNlzH0XfeGuVY2XVYG+hwvlmeRXgHl9exXe4/AVY/VQPJ:Qf07khNlzH0X1ufXh+eCeo4IGVQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80806f6fb03a7e4f |
|
VISUAL
aHash
|
66ffffff7f0000ff |
|
VISUAL
dHash
|
8e8cb2a0a8110000 |
|
VISUAL
wHash
|
00ffffff7e000030 |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
4d4da0a038b0a8cc,0000000000000000,8e8ca2b288881100 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.