Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0221B63B34823B003B78744078AFDEAD36E621DD7C10565A9ACC19B538B3DD96F7289 |
|
CONTENT
ssdeep
|
192:ClBS//T2a7OQOLnO4gO40tO4cO40O40O4yO4SO4iASmBQtn+tiLD6B9oG1vcL79Y:CUl7Xmng0tc00ySilmBOn+tKDo9oG1uq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c444fabb9392d4e4 |
|
VISUAL
aHash
|
ff000000ffffffff |
|
VISUAL
dHash
|
e986a6da00ed296a |
|
VISUAL
wHash
|
7f0000007ff7a1ff |
|
VISUAL
colorHash
|
0f0010000c8 |
|
VISUAL
cropResistant
|
00606000a0c1c114,810088a6b68000a1,24860a9e666efe3e,d6d5d6cc21296b68,709a82a6860ba080 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.