Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17605F47AEC0C6E09707A75CDE3DC4D8FE995F357E66218E696C5CF30818A814B81A87C |
|
CONTENT
ssdeep
|
1536:TU8QNhNC8eqkfWKw1FwkGutEqshNC8eqkfWKwFPw+cutEMnVdDr/Vf873gFTrtwt:Q8QNhNSBGEqshNSBGEP36htXy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9394647131b7939 |
|
VISUAL
aHash
|
00dfc9cfcfffffff |
|
VISUAL
dHash
|
793c9b1b9a5262d2 |
|
VISUAL
wHash
|
008b81838b8bbfff |
|
VISUAL
colorHash
|
07000200038 |
|
VISUAL
cropResistant
|
793c9b1b9a5262d2,041a5a7a3a1a5a04,e52d256fe6e666e7 |
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.