Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F33154337008EC3E20338685FBA47B2316999680D70F1600F5DE83AD9BD5E94FC36298 |
|
CONTENT
ssdeep
|
24:hR/Y9s62QRhMZou/qdjojhllV9DV6c2QXqQ+vlatvt5ZPqvAnwcX:Tws62QgouyIV6NwtvNCvCwcX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f070f0f17071f0d |
|
VISUAL
aHash
|
3f0f1f871e9fbf1f |
|
VISUAL
dHash
|
6072282a383a633b |
|
VISUAL
wHash
|
000f7f841e9e9f0f |
|
VISUAL
colorHash
|
070010080c0 |
|
VISUAL
cropResistant
|
6072282a383a633b |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)