Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9426233A500DC2A8D9B51CCF2C4968D411AD34AFB724CC6B1A491BF7BC4DF069A93AD |
|
CONTENT
ssdeep
|
192:tt3JKYcSchaIkaAnkKxRASNXMcnthWeNWbh6VfMmUU8VCop9:fcSchaIk3eSNK6VfMmUFCop9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd3cc2e04b96b4e1 |
|
VISUAL
aHash
|
ff9f0f89099fffff |
|
VISUAL
dHash
|
8833763353388a20 |
|
VISUAL
wHash
|
0f9b0b09099b0ffe |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
8833763353388a20,71c0b23332b2c071,3361969696966133,9f6163676360618f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.