Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B013C87144846B3B91B743C5A3119B4BE3968284F2B6C95AF1EE831B53C4D49CC6BF9C |
|
CONTENT
ssdeep
|
768:jzm5EUr/nfmsfzNS4n/fw36m/aUmTrO/Q95YUgrfWyPeLpDpaGReAGC249gREJS7:jzm5EI/nOsfZNnXw3MTrO/+GWyPupkoI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebeacacaca96 |
|
VISUAL
aHash
|
fd06060606ffffff |
|
VISUAL
dHash
|
718cecccec3c3823 |
|
VISUAL
wHash
|
fd060606060cfffd |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
00018961618901a2,96d6e8b294710f8e,c0303c0d3d2c3113,8c8cecccccececec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)