Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D905F47AEC0C6A09707A75CDE3DC4D8FE995F357E36218E696C5CF31818A814B81A87C |
|
CONTENT
ssdeep
|
1536:TclQNhNC8eqkfWKw1FwkGutEqshNC8eqkfWKwFPw+cutEM8sdeQg/93SFTtDOPLv:olQNhNSBGEqshNSBGE93stSGXy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9794e06314b4b79 |
|
VISUAL
aHash
|
00cfc9cfcfffffff |
|
VISUAL
dHash
|
6913939b9a2a62d2 |
|
VISUAL
wHash
|
0048484a838bbfff |
|
VISUAL
colorHash
|
07001000030 |
|
VISUAL
cropResistant
|
6913939a9a2a62d2,041a5a7a3a1a5a04,0503434b23323262,a63426e673733e1c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.