Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AE29531B060563B41E786C8B6B17B2EB3E7834AD6850454C6FD83FA5F93E08ED23695 |
|
CONTENT
ssdeep
|
768:0KerBtGgm3cw6iBKa1wpew3uF7sOy2+y9BH4crIe:8tGmw7wpN3uF7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bd38b838c5b3 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
78c8c0c0c8c4d300 |
|
VISUAL
wHash
|
007860706c70ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,18c8c8c0c8c8c4d2 |
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)