Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFA3DD23426935274437C2C134BA5B3BD1A6D99BFAE609400EECC7FA2BF9CA0741B55D |
|
CONTENT
ssdeep
|
768:3xJttpR4nXF6YjOpSpFlTC6rrWM1qLONGae+MKVr:3xLtpR4nXBKpSpFl26vv1cOgQlVr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93056d13136f6f29 |
|
VISUAL
aHash
|
001f073e6e3f01c7 |
|
VISUAL
dHash
|
ddbdfddcdcdcb33f |
|
VISUAL
wHash
|
000f017f7f3f01cf |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd3fdcdcdcecb33f,d5bd7fdcdcdcb377,931591c2656626b6,074201938e1c3222,68091032320c21d4 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.