Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1B172B5715310AF260B48A67530FF5DE8DBC21EC7A7EA48B2EEA193A7C9C514CD0219 |
|
CONTENT
ssdeep
|
96:9JvkPUjWv2L15P2TrQz6ytdncJcecNc/j:/8UjA2L1hcj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2f509dd23a3d703 |
|
VISUAL
aHash
|
00c0e7e7ffff0f00 |
|
VISUAL
dHash
|
d2170d4d0d00dfd5 |
|
VISUAL
wHash
|
00c0e7e7f7ff0700 |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
d2170d4d0d00dfd5,55a9aae4c4c45561,614da2a6b484f155,6951acccdcd42425,02cd47ac8a886b10,193979d9d9872217,1111853b2c06c149 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.