Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EE1856B5146E81A1AB3C2BCFA60771CDD839A86C7435D4991F88F6E6FC4FA1C40136E |
|
CONTENT
ssdeep
|
96:HlR5Pz6CFCvqYIJ3BsBItw/YIxZqJJMVEIki9U8tgF1vT4Iq76IvoxVhFv1odu:HlX5MiZqSw/nZVgi9U8ty1ba+Hxiu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33399cc6666cc98 |
|
VISUAL
aHash
|
e7e7e7c3e7ffffff |
|
VISUAL
dHash
|
0c0c4c4d0c000800 |
|
VISUAL
wHash
|
c0c0c0c0c0fcfcfc |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
0c0c4c4d0c000800 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)