Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17944A580B5703416063316DBE36E7E50A172EF07E1612169D0E40BBAABD7CAF6647F1E |
|
CONTENT
ssdeep
|
6144:JhSDRtpdl2o8io8Eo81o824UC6YC6uC6XC6c5bKSQKS2KS/KSUsAf3Ff3zf36f3J:6Rn2o8io8Eo81o824UC6YC6uC6XC6c5r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f807515a0fd6f885 |
|
VISUAL
aHash
|
0000fb8181c1ffc1 |
|
VISUAL
dHash
|
589e9623272b0c0b |
|
VISUAL
wHash
|
0c02ff81c1c7ffc1 |
|
VISUAL
colorHash
|
07000038080 |
|
VISUAL
cropResistant
|
8adaeaa6a6ba8686,589e9623272b0c0b |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.