Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAA3DE23825975274437C3C1306A5B3BE1A69A9FFAE70A011EDCC7F72BF9CA0741A159 |
|
CONTENT
ssdeep
|
768:xX0kNStpR4nXF6YjOpSpFlTC6rrWuzqKZ5g1N/cfXTwsYHI9G:lStpR4nXBKpSpFl26vuKZ50kvb2I9G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936d6c13136c6d6c |
|
VISUAL
aHash
|
001f072e6f2f0103 |
|
VISUAL
dHash
|
dfbd7ddcdcdcb777 |
|
VISUAL
wHash
|
000f032f7f3f078f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd7bb9b8b8594bcf,dfbd7ddcdcdcb777,b15347c7a44b5994,0e472113960e3a32,ea110d33330d11a8 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)