Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115C2B931A1002A3B1297C3C9B761F72E93D3928DDB4A094692FC835E4FE7F90C95755A |
|
CONTENT
ssdeep
|
768:1SCy5NxmxcRGMYvdRxZU0ZKZ7sOy2+y9BH4c1Ie:XxcSw0ZW7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ad42cd0cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c59c2f0f9f9bb00 |
|
VISUAL
wHash
|
002f38180c0fffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c594af0d0f9f93d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.