Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3A307B160401513E50793C1EF21BFCA62FFA1ECDBB716505EF80396ABDED909839A85 |
|
CONTENT
ssdeep
|
1536:53wFF8aeu44HOZZAlyFhpdMegFcf2qRcJQTXeaFa0Z/Nt5dKboOmzI1VtgedHF9i:OuebD8b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfcf3c30319485c7 |
|
VISUAL
aHash
|
02b87c3e20201c3e |
|
VISUAL
dHash
|
546160e0c9d0b9ea |
|
VISUAL
wHash
|
8eb87c3e68081e3f |
|
VISUAL
colorHash
|
08006000040 |
|
VISUAL
cropResistant
|
546160e0c9d0b9ea |
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 120 techniques to evade detection by security scanners and make reverse engineering more difficult.