Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1597342721142AA3B109346E1D31CE75AD386D609C7774DC6D7EC832B2B86DE8DE362B4 |
|
CONTENT
ssdeep
|
1536:U8sNF2VDc9F0j4LbsQsyA0UQGSdNXP0fxVuz8Gv:RkFYWNs8v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cc93ccd0cccc238c |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238e86,84cbf193c8c8dcd4,4561417971690141,00454d7171414541,8ad42b9bb1a54901 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)