Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14823843179419826215B96DBB23B324DD2D2D3CBC71266F9B3F483AC8BF1D60F991251 |
|
CONTENT
ssdeep
|
768:lRoRZ6hN6et2fkzMitseuyF6pBrY6NjoMyWP:lRoRQN6c2fkYejuyF6pNY6toMyWP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af02f82e29eb29a6 |
|
VISUAL
aHash
|
010000000103ffff |
|
VISUAL
dHash
|
03cc146367670f32 |
|
VISUAL
wHash
|
01040c383337ffff |
|
VISUAL
colorHash
|
0b0010001c0 |
|
VISUAL
cropResistant
|
b08c8d9284808080,e6e6b999c9c9c9c8,c3c1c1c286f4f0e2,3a3071f9b1e3c68c,0f76e8e1a6a48181,676f67770c0f3212,0b87cc1473626767 |
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 758 techniques to evade detection by security scanners and make reverse engineering more difficult.