Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EE111E1C018DD36032289D6F7F56B5FB592C359CB060A8453FC43AB9BDBC60CA52799 |
|
CONTENT
ssdeep
|
96:Tk1gbVhOhHWfeGBa9LTSS8ctmMTKJswvlFehXrHlAetXt4/2QPJ:QWbVhOhHW1BahBIMw2NZ34+QR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8787a9298d2da7a5 |
|
VISUAL
aHash
|
3c3c3c3c3c3c00ff |
|
VISUAL
dHash
|
f0f0ece8e0e81640 |
|
VISUAL
wHash
|
3c3c3c3c3c3c00ff |
|
VISUAL
colorHash
|
07080000180 |
|
VISUAL
cropResistant
|
adac8880808080a0,38338a8ad2b0b08c,0000000000000000,e0f0cce8f0e0e816 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)