Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E954CE234219792A4437C3D034699B7AD1A6DE8FFAA70A404EECC7F76AFDC50741A21D |
|
CONTENT
ssdeep
|
1536:zDAUgQmTa3MZo+Hd1+K4Ngqd+Smfu4/ZT4oU5ynNUkNL0MzNHZU2KIwmvSpO5Cmj:IOQzefQ1dNL0MzE24Ynr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e1ee76099cb9838 |
|
VISUAL
aHash
|
00001c1c1c1cffe7 |
|
VISUAL
dHash
|
4f2c397131310e86 |
|
VISUAL
wHash
|
80801c1c1e9fffe7 |
|
VISUAL
colorHash
|
07180000000 |
|
VISUAL
cropResistant
|
4f2c397131310e86 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)