Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1032441F0136016AE16C2FEA0D2933D576171C9FAE12FAD8DA1B8194D0ED0F99CAD57E0 |
|
CONTENT
ssdeep
|
3072:3pHm5aVOpdm5ef9VVyUn/pdm5ef9VVyUn/pdm5ef9VVyUnv:tm5hm5C9VVya/m5C9VVya/m5C9VVyav |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed6d93b61792 |
|
VISUAL
aHash
|
00000e2e2c00ffff |
|
VISUAL
dHash
|
cc4c4ccccc43a47a |
|
VISUAL
wHash
|
06202e6e2e00ffff |
|
VISUAL
colorHash
|
30000038000 |
|
VISUAL
cropResistant
|
2b968c8d8c8d8c96,06a4a09890726a29,8cc34ccccccccc33 |
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 120126 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)