Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEF327203761553A006383C1B2D66B14E17DCB93F2660CE8F3ACD8B77659C6C6687BDA |
|
CONTENT
ssdeep
|
1536:Uayk28dB9BeRfo2WeO02NZs3JRoTYTkT2HrS+zoeaIkW+rvidnxeneOLlICzcJrX:C4NEQUySuaIXjUMAL98n0AI8Fg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec399366cc9338b8 |
|
VISUAL
aHash
|
0000c3d3d3d1ffff |
|
VISUAL
dHash
|
6a969636a6a65800 |
|
VISUAL
wHash
|
00c38383c1c1ffff |
|
VISUAL
colorHash
|
02000038000 |
|
VISUAL
cropResistant
|
000222222222020c,b296b6b6a6265002,002b1444ec110000,41556ddcd42d4141,70c28518d3272c6c,c1ed4527635ce693,47979696178fcccd |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.