Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B17210E1D050DD37072380C5B7B6AB6B77E1C288CF421A5413F843BAABDEDA196125ED |
|
CONTENT
ssdeep
|
384:QFv/OGnjA41UGMpmRQDSIaBP7xZhzSAbmR8P4CYZ4ZdZ0Zt8F:+jA41UPJIP7xLzSAbEZ4ZdZ0ZmF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f528d58b82d68a79 |
|
VISUAL
aHash
|
ffc3c3c3c3fffefe |
|
VISUAL
dHash
|
0c969e2a0b9e06cc |
|
VISUAL
wHash
|
f7c0c0c0c1f6e676 |
|
VISUAL
colorHash
|
06200208002 |
|
VISUAL
cropResistant
|
0c969e2a0b9e06cc,3d35d5550ecc4e3a,5ba5a4f6a68c8c8c,a3c34600382c2101,20438e1833644848,70c3982040000000 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.