Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2B37B33411875274437C6D530A55B3BE2E6DA4FFA970A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:OnLz4NP/y9svbliCdwr65rFtiuCa28y2O9:2mAb65g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362ed3a9d699441 |
|
VISUAL
aHash
|
00006000040460ff |
|
VISUAL
dHash
|
98ccc4caccccc3b8 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4d4c1208,d004800158588090,9888c4c8c8ccccc3 |
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.