Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169B2A873A658667B009381D6A66973AEB2F7815DEAC7020043FC83AC4FD6D5AED33744 |
|
CONTENT
ssdeep
|
384:ylcHg7r4Q5u8Eu1k0w9nTg6+N7IMdNib7/CFUX:k4ikZ9n8jib2FUX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81d43c753cb952ad |
|
VISUAL
aHash
|
02707c7c70600301 |
|
VISUAL
dHash
|
9cc7c0f0c2ccdbd3 |
|
VISUAL
wHash
|
42797f7f78600f01 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
d5c7a79555555949,8cc7919125a58609,9cc7c0f0c2ccdbd3 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.