Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D454CE234219792A4437C3D034699B7BD1A69E8FFAA70A404EECC7F76AFDC50741A21D |
|
CONTENT
ssdeep
|
1536:q3UgQmTa3MZo+Hd1+KbVZ+rdd+Smfu4/ZT4oU5ynlRkNop2LWhZYqKIwmvSpO5CQ:yOQzWdfQ14Nop2Ldq4Ynx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e1ee76099cb9838 |
|
VISUAL
aHash
|
00001c1c1c1cffe7 |
|
VISUAL
dHash
|
4f2c317131310e8e |
|
VISUAL
wHash
|
00021c1c1e9fffe7 |
|
VISUAL
colorHash
|
07180000000 |
|
VISUAL
cropResistant
|
4f2c317131310e8e |
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)