Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176E2B63270007A3F02D793C9B361E76EA3E78289DA56054591FDC3AE4BA3D60DE7351A |
|
CONTENT
ssdeep
|
768:AS5y5Nnc9aJWJVwrt+XFTY9ePy87sOy2+y9BH4cLIe:R97ItR4a87sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec12cd6d92cd |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
19094b43c90c3300 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeff979ffffffe,0080800078908000,1409494b4bcd5c30 |
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)