Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD73E8A83959F5165EB343A710EF1403B378122B580D4D70B250FD9EA5BCC9AB06BFDA |
|
CONTENT
ssdeep
|
768:6oYu+5mK+4x4eIP32yEZMLwypGCCdaMK6kyLw15l9xy+UOLmXzRVT27OM:aLx4TESLwsGSMBDLw1j90+1LmjzQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc993366999ccc99 |
|
VISUAL
aHash
|
0000181818000000 |
|
VISUAL
dHash
|
000cb2b232300800 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38201010040 |
|
VISUAL
cropResistant
|
a2a295196d4d90a2,cd0e9613230f1733,000cb2b232300800 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.