Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9731AA83919F5575EB343A710EF1403B378122B580D4D60B250FD9EB5B8C9AB06BFD9 |
|
CONTENT
ssdeep
|
768:6oeuFgRA5mK+4x4eIP32yEZMLwypGCCdaMK6kyLw15l9xy+UOLmXzRVZ27Of:F8GLx4TESLwsGSMBDLw1j90+1Lmjzl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2fce733a6c88816 |
|
VISUAL
aHash
|
e6e0dce8070968e1 |
|
VISUAL
dHash
|
0c9591955ddbd1cd |
|
VISUAL
wHash
|
e6f0ccf8074969e1 |
|
VISUAL
colorHash
|
31601010000 |
|
VISUAL
cropResistant
|
0c9591955ddbd1cd |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)