Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CA366219319793B40BAD8D1AA2547ABB3E3F90BC5830652F3FCC35C6BC4D84AE25579 |
|
CONTENT
ssdeep
|
384:96LIuUwP+H56BO6NSCegtmiRfBmua83RJKz5E4DdXgLBJPr/XL1ILbBZpur/FcHB:mIvgBO6NxLH753I5E4eG9AtTun+8z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e363949cdf9898c1 |
|
VISUAL
aHash
|
f7e1e181e1ffffff |
|
VISUAL
dHash
|
4f4f4b0b4b20170e |
|
VISUAL
wHash
|
e181e181c1dfc3e7 |
|
VISUAL
colorHash
|
07203000040 |
|
VISUAL
cropResistant
|
4f4f4b0b4b20170e,a68aca1e5d429e16,acccb4f0c4ce6e4e,b3292eb55947264e |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.