Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECE2B6319019A83F06AB62E1E7B1B36A22D543CDD947072B42FEC74C4BEBC54ED27499 |
|
CONTENT
ssdeep
|
768:1II9/uBTIIIIIofLrNxEl3S+OMimsREYeFsyn:1II90IIIIIof1xEl3SFYwEYeWo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3751c1c3963c6 |
|
VISUAL
aHash
|
00e7efff7f381810 |
|
VISUAL
dHash
|
86cdcbd3e5f0f0e0 |
|
VISUAL
wHash
|
00e7ebff7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d888c0c,0000706169040000,86cdcbd3e5f0f0e0 |
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)