Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FB3C773529C2EBA292B1AC0F545677AB095608FDA4D50C6F1FEC29823F9DE0F456383 |
|
CONTENT
ssdeep
|
3072:KDyBrc5/zKvGDVNcgrQffhunTSl+97IBeh4PClpYQ:K2V4zPDVNFQffhunTS097Ioh4PSpZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b94691e49f90ec9a |
|
VISUAL
aHash
|
ff000000dfc3cfcf |
|
VISUAL
dHash
|
23e8f0743b171b1b |
|
VISUAL
wHash
|
ff000000ffc3cfcf |
|
VISUAL
colorHash
|
33001400040 |
|
VISUAL
cropResistant
|
2042602b0b201a00,3e3317171f1b1b1b,1669e8c8f332c93c,050af9e8f0f00e41,2995686929488000,8f6f9f3f3fbdbfbf |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.