Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198239131A1086A3B02C392D1B774978FB3C2828ACB630B9973F9C35D5FC6D66DD25198 |
|
CONTENT
ssdeep
|
768:9fF4F/1hBydsQJqjQIFwTDpFwTCIFwTu773dIUS0Y0VUf7sTMprzY:/4ZBydgjRFwBFwHFwy7jCUS0Y0y7sTMu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c14ab666158f43be |
|
VISUAL
aHash
|
000000000020ffff |
|
VISUAL
dHash
|
dc99d9d294c40f8e |
|
VISUAL
wHash
|
fe4038380060ffff |
|
VISUAL
colorHash
|
320000001c0 |
|
VISUAL
cropResistant
|
c0000c2e1fdccece,cc9899dbd2d284c4 |
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 90 techniques to evade detection by security scanners and make reverse engineering more difficult.