Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186B2EDB02517346AA5B351E3A0455F0998F39BB6F7292D38EBF515289BC8CF02B473B1 |
|
CONTENT
ssdeep
|
384:PdJghDKc3VMBKW1xJaNyd2pVJIhiGfZa4z+S3YYYfgFa1qDMEn5/DmGL+NWPliN1:3ghDKc3VgKW1xJaNyd2pVJIcGfZa4z+j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99646699666699dc |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0008303232320c10 |
|
VISUAL
wHash
|
00b9ba599e9d7a51 |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
0008303232320c10 |
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 133 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)