Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16433E032B2527497D53398D0F5912F19B2D7C736C3059A08DBE42926FECECE46A903AD |
|
CONTENT
ssdeep
|
1536:oCJifJbDbZHkMxq+C9A6g3l7C/JnacLf6eLfqsLf4BLfMcTzhBeC3D:GCS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d4d0392f2bced0e4 |
|
VISUAL
aHash
|
003efe3c50003003 |
|
VISUAL
dHash
|
19f8f461a2616616 |
|
VISUAL
wHash
|
0c3efebcf000339b |
|
VISUAL
colorHash
|
30012000040 |
|
VISUAL
cropResistant
|
dcb66a61616af4f8,fc62934ab8d27634,ffffffefefefffff,8200080808080882,19f8f461a2616616,cd0e26733530b38f |
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 93 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)