Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D6285317384353E469766C2AB556B5DB3AAA197A3052A1881FC92FC0FC9E0DFE33245 |
|
CONTENT
ssdeep
|
192:cpvDY5ywZyIIsbsLoSe5CIyK8L2jqwKDEDYAm7ALo89fGCewIiBV42SokIMBECEK:0Lw8IICsLpAX8QaDKYMurBI2IMmBehrj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8747fc103af1473c |
|
VISUAL
aHash
|
00000000007fffff |
|
VISUAL
dHash
|
c4c7c7cffff8b02b |
|
VISUAL
wHash
|
0030212103ffffff |
|
VISUAL
colorHash
|
03006000040 |
|
VISUAL
cropResistant
|
f08e41303808c023,c4e7c7c7cfdfeff8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.