Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163733B1161105136E1574BCB7660FA58A24FFAABC65A80F0F1FE43257EC6DF08D528AF |
|
CONTENT
ssdeep
|
1536:ZnTX276j1KRMFPkDrST7scFzSsZxKxLUzHnQRzjfSDiq7mI8LjGOwWl1mesvDb2N:ZnTX276j1KRMFPkDrST7scFzSsZxKxLZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edb2b2c9c6cc4992 |
|
VISUAL
aHash
|
ff8f0ef3fff9998f |
|
VISUAL
dHash
|
461b1cc6c4333328 |
|
VISUAL
wHash
|
b7810c72f1b18b8f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
461b1cc6c4333328,8381818381c1c1c3 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.