Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F66191721005682F124593D1A2E27BAFA947D60BCBA14FD6E8914B86EA94FE0F97200C |
|
CONTENT
ssdeep
|
48:S3uK2W5mEHTNLOTn/6aNMcTN994mwN8mwNHmwN/10F8dvBxedVgo81drqPq3VUt5:v6MWO/aS+2NF102h7/16iUtVnj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d973668c668c9933 |
|
VISUAL
aHash
|
c0c0d8d8181b1b03 |
|
VISUAL
dHash
|
0012323232b2320e |
|
VISUAL
wHash
|
e0f0f8d8db1b1b03 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
d0ccc4e6cfc79697,96949cd8d89ccfc7,aa4e720e0e736eaa,0012323232b2320e |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.