Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1A38A33411935274437C6D130A55B3BE2A69A4FFEE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:W+b/PhhLz4NP/y9svbliCdFDX17uFtiuCa28y2O9:DmAE179 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d53eb42bb541 |
|
VISUAL
aHash
|
00706000000000ff |
|
VISUAL
dHash
|
9cc1c3cbcc2cd3d0 |
|
VISUAL
wHash
|
00fff371340038ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
c080c12030808080,9cc1c3cbc9cc1cd2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)