Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D93F9B11351667F1003C2F1E325E66AD3C6B64EC7339D82E3F8826B56C9CF89D24566 |
|
CONTENT
ssdeep
|
768:jwQI1OkEcyV8QZuUTQenxCSE8AualHsQI1OkEcyV8QZuUTQenxCSE8AualHIIQ0G:aIQ0Ig/07OIUbKCOVVs0+Op |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec7c3d81ccc18 |
|
VISUAL
aHash
|
ff879f9fdfffffff |
|
VISUAL
dHash
|
4b2c3434b8d43403 |
|
VISUAL
wHash
|
00001e1e5e1edfff |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2c3434b8d43403,5a9989cbcd4d45e5 |
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)