Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1927375719242AE3F109386E2A758D75AE386D205C377898A97ECC35F27D7CA0DC36178 |
|
CONTENT
ssdeep
|
1536:F0N2c7F08eSYiyM0yd/GylbL0exVuz8Jl:/9DXebIsl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
cc93ccd0cccc238c |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc232286,84cbf193c0c8dcd4,4541457969690149,17496969696995a5,004d517171455541,92321c414616f656,adab4a44126868e0,24cb692d9db5a504 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)