Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124D263B32044D93F026782D16321BE58A1C3420AEFD45945F6EC175B6FB3DA2BC2A5AD |
|
CONTENT
ssdeep
|
192:VfJ52NAYL71BRb4GCdYtZglVkWDIgV0fgQO5xVjzOyjQLioDIxV0F:VWAYVBoOtGZDII016XpMLTDIP0F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c7cc3067c63272 |
|
VISUAL
aHash
|
e68fe7f18387ffff |
|
VISUAL
dHash
|
0e3b4c4b0f1c461e |
|
VISUAL
wHash
|
868ba7a1878783e7 |
|
VISUAL
colorHash
|
07002200600 |
|
VISUAL
cropResistant
|
0e3b4c4b0f1c461e,b058d9c9c3d65c2d |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)