Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116329423110C197AC33390DD58513A505346E28FCC529670A6A81E7F3BE6FA7E6927BF |
|
CONTENT
ssdeep
|
192:PTL67kCPHjbeIj2RuEzkrNYrJpuEzkrNYrloLuEzkrNYrlWb52Z/mjwgE3w2jJjD:BCPneAiraeAirreAirk2Fg9TK9QW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8ebc3393c2630c7 |
|
VISUAL
aHash
|
d1f9e7818b8fffdf |
|
VISUAL
dHash
|
2b230c37333ac01a |
|
VISUAL
wHash
|
e799f381838f3f00 |
|
VISUAL
colorHash
|
07400000180 |
|
VISUAL
cropResistant
|
2b230c37333ac01a |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)