Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E833FAF93C95B5520B7290D3A0AF354BB33A186F790C55A0B1A0DEE570F84A9506BF8F |
|
CONTENT
ssdeep
|
768:myWuPyW/u1cNwGs9XMQ1Z+5LRSHfF/CWIRF8nMz/uDoLtR51nULEX8UlhI6434GD:qIVfyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbd0b4b59427ca4b |
|
VISUAL
aHash
|
fff9f99999f931ff |
|
VISUAL
dHash
|
cc03833133636359 |
|
VISUAL
wHash
|
fff9f808010931f5 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
cc03833133636359,630743746f17ce4d,411024b2b2320c51 |
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 696 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)