Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12541F06062512D2DA5D044A7E3103E6687C0C5E583B919044A8B9F9FACC94F4EE233EE |
|
CONTENT
ssdeep
|
48:5hzThGxR9VPSe8Ln0VdGOpjJIVdr+VjXVsA8:/zTI367LYUEjJs9gjXS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3869d686237629d |
|
VISUAL
aHash
|
8f9f87e7e7818b0f |
|
VISUAL
dHash
|
5b334f4d4d0f3212 |
|
VISUAL
wHash
|
0f9f87e787818b0a |
|
VISUAL
colorHash
|
07040030000 |
|
VISUAL
cropResistant
|
5b334f4d4d0f3212,b08c8a8a929686aa,90aeb19a80b2a082,cc706969d4f0710d |
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.