Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F63B7608246461AE697E1C0FE32AF4A53858349C3074D6CB7F35927FE8ED74ED396A0 |
|
CONTENT
ssdeep
|
1536:M4GcsK4usrGbSntyVAuGUL2xdgh6XEiHeeekeee8eeeQeeefeeeZeeepeeefeeeJ:KSe7aCo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db91d2e2e1c8cce2 |
|
VISUAL
aHash
|
ff001808091800fd |
|
VISUAL
dHash
|
793830535ba33919 |
|
VISUAL
wHash
|
ff08183969d880ff |
|
VISUAL
colorHash
|
00038000000 |
|
VISUAL
cropResistant
|
0049696161690078,8080c02b29a08080,3939393939399000,3838305b5ba3b939 |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)