Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DA3AC33415875274437C6D430A95B3BD2E69D4FF9A70A010EECDBFA1BFACA0745A11A |
|
CONTENT
ssdeep
|
1536:8Lz4NP/y9svbliCd8+2aQCf0WFtSuCa2iG2AY:CmALRe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1ead68d131 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
93c8c8c2c8ccc48e |
|
VISUAL
wHash
|
00ece470702c7eff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
000080814c4c8088,9288c8c2c2c8ccc4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.