Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4E29631B210663B42C7D3D9B762F72FA3E69249DB1A050592FD83AD0BA7C54CE3351A |
|
CONTENT
ssdeep
|
768:hS5yxaSIKSAs+namwAYDoEwBcGsr7sOy2+y9BH4crIe:oIHEhwBwr7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269fc12cd0d92ed |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
15091b6bc90cbc00 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeff9e9efffefe,0080800078908000,1409094b4bc95c3c |
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)