Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134E2977260107B3F01A792C6F290AB5E63E3968ED34A181253FE875D0FE2E50ED1765B |
|
CONTENT
ssdeep
|
768:/Qepu8Ss/co1CNsVRM4RN7sOy2+y9BH4c1Ie:FW6577sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c242f93a9d6d96c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d8cccce2dc0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4c4c3204,0080800058988000,d888ccc4c8cc2cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)