Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15272B65160A1102D593753CCF1A53A3560C0F31AEB89A654EEED63B4D2EFFB1B82B84D |
|
CONTENT
ssdeep
|
192:JHe1j2w1j33bHRLybGiQXqf2eGEdrP8Lt2dGGdP/GM/NJ3ETuCcHpn5NiDIBq:4t2wtHbHR8vQYhGEdrZdPP+MVXBriD2q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a1e737180647d967 |
|
VISUAL
aHash
|
03e7ffff5b1a0000 |
|
VISUAL
dHash
|
9e8e2be297b28e9c |
|
VISUAL
wHash
|
02efffff4b5a0000 |
|
VISUAL
colorHash
|
0000200a000 |
|
VISUAL
cropResistant
|
8e92ce22232ed282,9e8e2be297b28e9c |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.