Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B502A863C708AB5A2AD3C398CF42F2FC525B8185C68E51E496EE43A544DADE4FC23539 |
|
CONTENT
ssdeep
|
96:T1VM7l377NQiAbG8BPCHc73CIAbG8BPCDOdw0ZLDhCeN4:wQvBFjCRBOmw0vN4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ba92c28d366749b |
|
VISUAL
aHash
|
030b0d2c0c088080 |
|
VISUAL
dHash
|
031b594959982024 |
|
VISUAL
wHash
|
0b0f6f3d7c8cc8c2 |
|
VISUAL
colorHash
|
38031000000 |
|
VISUAL
cropResistant
|
0e0e269696966804,031b594959982024 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.