Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194D28532B060563B42E782C9B7627B2E63E78289D6451455C6FD83F90FD3E08DE33695 |
|
CONTENT
ssdeep
|
768:nerkQ/u6DhOoTwSpCwJCRKIc+uf7sOy2+y9BH4cLIe:FQ/uMZHp0RW+uf7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c30bb53af828bc8e |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8c8c0c8c8c4c100 |
|
VISUAL
wHash
|
003870f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
408080004c888000,49c8c0c088c8d4c0 |
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.