Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1763283E1E064ED370B5281D5A7F96B1B76A1C345CF06098453F883BB5BCEDA0CB2299D |
|
CONTENT
ssdeep
|
192:QdpVX/VX1jkzYtks58iZtL3XGMncDEIU80m3neR/Szs3xX8adp8F:QdpVvVlOBI1Ztz2McDEIUByeNfhsaP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0ce8f9b8a6c3271 |
|
VISUAL
aHash
|
ffffc3c3c3c3c3c3 |
|
VISUAL
dHash
|
c08686969e9e1696 |
|
VISUAL
wHash
|
7f434343c3c34303 |
|
VISUAL
colorHash
|
07000250008 |
|
VISUAL
cropResistant
|
c08686969e9e1696,34597ce44ac89854,0746e1db1ad33335 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.