Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DA37933411975274437C6D130A95B3BE2E6994FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:1ttIJZLz4NP/y9svbliCd0CV0FtiuCa28y2O9:2mA7G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc06c739b36d1c2c |
|
VISUAL
aHash
|
ff1e9e8e8f8fd3fe |
|
VISUAL
dHash
|
e6b83434343613b2 |
|
VISUAL
wHash
|
3f1c108e8e8f81fe |
|
VISUAL
colorHash
|
07000c00018 |
|
VISUAL
cropResistant
|
e6b83434343613b2,e2e2a1a06021a292,ca62337322132a2a,696cc6eaeac6e636 |
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.