Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154149C33421935270537C6D430AA5B37D2A6DE4FFAA70A010EECD7FB2BE9CA0755611A |
|
CONTENT
ssdeep
|
1536:ILStsEJPjQBq1Wixx2Whx/vt8VPB6RxknNucRep01Q:ILyLqgDnQ6rp01Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33c3cc37b123d43 |
|
VISUAL
aHash
|
ffff006470747400 |
|
VISUAL
dHash
|
e9ebd7c9cacccd5b |
|
VISUAL
wHash
|
ff1f007c72767480 |
|
VISUAL
colorHash
|
01002200400 |
|
VISUAL
cropResistant
|
33cfc7c9cacdcd5b,0802c9c92ac9c936,6e96a76e6f2eee22,1643436363733266 |
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.