Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C872557154D46C3B01AB86E8F1796F2B77D1C229D783074486F8A7AE0FC6CA1ED53286 |
|
CONTENT
ssdeep
|
96:E9aziCJomjbHx9c0Rj9tK3dlz0yf2rVOGrIS4lJA35Ky9lF357CqXiUWP35e4RpZ:i9mjbHjHnmI6EASvjjFsUWP8+pYlr4Jv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993232cd659ecc63 |
|
VISUAL
aHash
|
0000181818181800 |
|
VISUAL
dHash
|
269ab2b2b2b2aa8e |
|
VISUAL
wHash
|
db003c3c383c7f4b |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
f6baa4a4b4a4848e,269ab2b2b2b2aa8e |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)