Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAE2C731A1047A3B01A7D3C9B362A72BA6E7834AD70B081581FDC76D4BE3C94CE3755A |
|
CONTENT
ssdeep
|
768:XS5y5NiAvytGSpxuKDaYTIIZ4Dy2R5ny8+K7sOy2+y9BH4crIe:/v8v2R5noK7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec12cd6d92cd |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
110d4b4bc90c3300 |
|
VISUAL
wHash
|
80e7e101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffefe,0080800078908000,110d4b0b4bcddc32 |
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)