Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108C2A771A104273B02B3C3CAB3A5F75E92D3824DD689181A53FD876D4BE7E50ED2361A |
|
CONTENT
ssdeep
|
768:HSXy5NpuiB0gOU1563tagZ2PX9rzooqrvM7sOy2+y9BH4cLIe:KiB0gOU1Ag9rzoLM7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd309069c583 |
|
VISUAL
aHash
|
000000000400ffff |
|
VISUAL
dHash
|
1c4dcbc3cc44b600 |
|
VISUAL
wHash
|
80e771300e00ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1c4dcbc3c9ccc434 |
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.
Pages with identical visual appearance (based on perceptual hash)