Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0222C33B600DD2A899B56CCF2C49549411DC389FA3148CA71A091FF7BD4DF069A97AD |
|
CONTENT
ssdeep
|
192:dI3J0dNoHF/+2Qx9McnthWeNWbnfMmUU8VCo2O:XNoHFG0fMmUFCo2O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c3c73c3cc6c3 |
|
VISUAL
aHash
|
8f8f8f87cfffffff |
|
VISUAL
dHash
|
3c3b3f3c3a041000 |
|
VISUAL
wHash
|
0301010383fffdfc |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
3c3b3f3c3a041000,000009b0b4410000 |
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.