Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D3375B211466A2F104342E1971CE66AD3CAD70DC7A38E47E7F8C32751CADE89E361A4 |
|
CONTENT
ssdeep
|
768:I8SNUmu0ksCpsMhnUTQOjR+uUsc6WpbSSNUmu0ksCpsMhnUTQOjR+uUsc6Wpb3E8:aUOE0pyeaWRu0vxTAa8w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3b0189ab8 |
|
VISUAL
aHash
|
fb939f9fdfffffff |
|
VISUAL
dHash
|
4b2e3131b1f11d4d |
|
VISUAL
wHash
|
80809c9c5c1cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2e3131b1f11d4d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)