Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1797351761242AE3B228346D293DCDB59D383EA0AC767894E97D8831B2787DF0DD35174 |
|
CONTENT
ssdeep
|
1536:cF6e2LGDcui0m4gD+t3yd0bdGi9jGS0/xVuz8tQ:OU0wej2/Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
8c83c8d0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238e96,84abf1cbc0c8dcd4,4561417971690141,00454d7171414541,24dbdb64a3a1ad06 |
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)