Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFF130F1D450ED37431286CAA7B96B0BB3A1C349CB03094593F883ABABCAD60CF1559D |
|
CONTENT
ssdeep
|
192:QenbzD715lt8iIGwy6ta2NGfXyK7yZaqw:Q4nf1Zw1ta2Mv7uaqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46483939b9bc19b |
|
VISUAL
aHash
|
f3f3f3d3dfffffff |
|
VISUAL
dHash
|
262626a630060000 |
|
VISUAL
wHash
|
d0c0c0c000003030 |
|
VISUAL
colorHash
|
07000000012 |
|
VISUAL
cropResistant
|
262626a630060000,bad7952624983626 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.