Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15261D835E4816C73B927C3A0E9D9461F67C14A9CD79303A2CBE0031E9BD5D5DECC9118 |
|
CONTENT
ssdeep
|
48:Mr9/VVd6jPJYoD/k6jPBrRV9FP1A2AFP5fJtWtFPXOXDeiCdmZio1uvFJu:Mr9H09TBn9YLfqtQXD6UZr2u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9a6669964993366 |
|
VISUAL
aHash
|
183c381818183818 |
|
VISUAL
dHash
|
3070707070707030 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
02000007000 |
|
VISUAL
cropResistant
|
3070707070707030 |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.