Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152635FB16113593B8A8790C2F3755B4AA2D2E397CA931E45B3F5830E9FC6D60FC1B260 |
|
CONTENT
ssdeep
|
1536:usp7DB93jziqy2Ku5IDOOkys54NnyU7PTzBm1fpoIqLAnLVgF:usp7DfuUU7PTzqf9qLAnLVq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c61de913f294659c |
|
VISUAL
aHash
|
000012161622feff |
|
VISUAL
dHash
|
86b2f4ececc4e489 |
|
VISUAL
wHash
|
000032763676feff |
|
VISUAL
colorHash
|
39200018001 |
|
VISUAL
cropResistant
|
ec0cdd92c2e36737,c4c4843049414d89,86b2f4e4acecc4e4,2021232d2d232d2c |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.