Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1744296B74514582A02A7A3D8EF656B6D30CFD20FDB430A4002FC87AD6BC7CD5D99706A |
|
CONTENT
ssdeep
|
192:RKWC+7WO3QlPliT+6hSh1hu7TuYkqHbJ7tnPErFfohhVI:RKWC+7WO0kT+6MnA9HbMn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8e8070be8aae8f8 |
|
VISUAL
aHash
|
01c0c0c0c0c00000 |
|
VISUAL
dHash
|
43a021a0a0204000 |
|
VISUAL
wHash
|
81c0c0c0c0c00000 |
|
VISUAL
colorHash
|
38040000180 |
|
VISUAL
cropResistant
|
8686ad9bb87a2eb3,43a021a0a0204000 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.