Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139235B726732B86883DB91EEF7382D46B2D6588DF8C74450F5C99A8D23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:ab+EsZx8/G8+RF4DDat/MRBvtyMRBp7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDS:ab+EsZ/8QODDat/MRBvtyMRBp7UXx+yB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb3cb491c1c5b4d1 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
6171454151454145 |
|
VISUAL
wHash
|
ff8181b9b981bd81 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
6171454151454145,7070c4c0d084c0d0 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.