Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E72B670B4006D3B41DB89FAF235EA412B58E144D30B5FB5EAAC83CD18D6D18E922A69 |
|
CONTENT
ssdeep
|
192:7cOrqzJBXP72eivb5aOOb4IQ5iLHrHg5BYhgTlqG:YOrqL72eirOfrHg5ByghqG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ca972f68c90cd3c |
|
VISUAL
aHash
|
3f0f1f1f1b180000 |
|
VISUAL
dHash
|
ffffb2b232b0fcb0 |
|
VISUAL
wHash
|
7f3f1f1f1f1c0400 |
|
VISUAL
colorHash
|
0e407000000 |
|
VISUAL
cropResistant
|
e0386830b2908382,c480c03434c00094,ffffb2b232b0fcb0 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.