Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170336C736731B8AC82DF51EEFB382E49B2C65499E8CB4550F1C9969D13C7C802287BB4 |
|
CONTENT
ssdeep
|
1536:aHT2E+EsZ/8SrN/nDVReMjBdRbMjBWrpRXPZlQaQD9OehM+BrUgq4FJ:aHT2FFRJRZrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3bc06a1dc16a94 |
|
VISUAL
aHash
|
81818b8b8181ffff |
|
VISUAL
dHash
|
6d595b5b594d0011 |
|
VISUAL
wHash
|
81818b8b8181ffff |
|
VISUAL
colorHash
|
1ee00400000 |
|
VISUAL
cropResistant
|
6d595b5b594d0011,fef9e9c1a0e6ccc9,7438385c3cbc9dac,659a9a9a9a9adaca |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.