Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C126233E600DD2A8D97518CF6C49589411EC35AFB3148CAB2A491FF3BC4DF069A97AD |
|
CONTENT
ssdeep
|
192:lPv5h0d3Z8FHxHW9pxMMcnthWeNWbt/fMmUU8VCoBwd:O3Z8zWTfMmUFCoBwd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96707d2b6b49e807 |
|
VISUAL
aHash
|
00063e3c3c3e3eff |
|
VISUAL
dHash
|
977ce8e868e0f868 |
|
VISUAL
wHash
|
00063c3c3c3e3eff |
|
VISUAL
colorHash
|
03007008000 |
|
VISUAL
cropResistant
|
7cece86868f0f868,937cece86868f0f8 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.