Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E63B572D26A1103510FB4D8F1669B4A77538786C7034FF562BC17E4AACECB96E2328D |
|
CONTENT
ssdeep
|
1536:6nOJcGyh652deq4YjzlfD8n4dc41oo+peGOC4GPagpEyplMnfkehe8OSjCIFb+dC:6nOJcGor46zlIAq9PagayQqSUPq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c136cd30999bc6ad |
|
VISUAL
aHash
|
62027e6c40607c7c |
|
VISUAL
dHash
|
c2a6e0988a8ad2d0 |
|
VISUAL
wHash
|
7202fe7e42407e7c |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
c2a6e0988a8ad2d0,49d964f131272b2b,a639fe0d4983b283,8c39fe0d4983b283,4b4b3198d8d08c4d,e124646cc3c77673,3e92db4bd31a2b2b,8e39fe0d4993b2c1,476b7d292b3323c4,8c39fe0d4983b2c1,0f43312c3020a0f0 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.