Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7730A4A5494601E472B40F384B71FC9F7381C2FF91815E2A4B887A6B3AD9F5316AB4B |
|
CONTENT
ssdeep
|
768:iyWuPRuWCy/cG51bQ8n+KfFsSrYX/uDzM9v5uL6Zz15zxrTq/8LjX8Uv4ILshJk4:eyqyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b32264c9cdcccdac |
|
VISUAL
aHash
|
e7c7c7c7c7efc7c7 |
|
VISUAL
dHash
|
0c0d0d1c1c1c1e1e |
|
VISUAL
wHash
|
c3c3c3c3c3c7c3c2 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0c0d0d1c1c1c1e1e |
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 478 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)