Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121B3E773913C25BA12B30AD596482315B8C9904FC64A47D2B1FDC39863FEED1B5A23E7 |
|
CONTENT
ssdeep
|
1536:5SPVXtHEWfz14BSkulb9AfB6xKMYZS2NyT6/VEk1z/CSwTtoXZfEZG4:5aHDWSkulb9AfBLMOS2N3T5qSqtv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6321c9c9c9e3636 |
|
VISUAL
aHash
|
9de7e7e783ffff83 |
|
VISUAL
dHash
|
718e4d0f2b2f2b2b |
|
VISUAL
wHash
|
adc3e7e781839581 |
|
VISUAL
colorHash
|
07001030000 |
|
VISUAL
cropResistant
|
718e4d0f2b2f2b2b,6434342c6c666a62 |
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 935 techniques to evade detection by security scanners and make reverse engineering more difficult.