Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC33757211467B3F004341E1971DF66FD3C6EA0EC7A3CEA7A6E8C32751CADA49E2A154 |
|
CONTENT
ssdeep
|
768:o0S9U2m0kkypUMhHUbQ2D5OecM0yGJTSS9U2m0kkypUMhHUbQ2D5OecM0yGJTX28:C0G2S0pyeaW5KY0vxTAa8Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3b01896b8 |
|
VISUAL
aHash
|
fb939f9fdfffffff |
|
VISUAL
dHash
|
4b2f3531b4f41d4d |
|
VISUAL
wHash
|
00001c1cdcfcffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2f3531b4f41d4d,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)