Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E55B73232245E6A56DBDAE0F2637E34A1F583C5C11781DAF2F983B11FCAC59D963290 |
|
CONTENT
ssdeep
|
3072:KB9kpbLpgLpgLpgLpgLpgLpgLpgLpgLpgLpgLpgLpgLpgLpgLpgLpgLpgLpgLpgY:O9kpuuuuuuuuuuuuuuuuuuus |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9689699296e989de |
|
VISUAL
aHash
|
9d00383e3e3c8080 |
|
VISUAL
dHash
|
29c7d1ecece4253d |
|
VISUAL
wHash
|
ff007c3e3e7e5080 |
|
VISUAL
colorHash
|
00007000040 |
|
VISUAL
cropResistant
|
0000000000000000,0000400020200080,828a314c4d4c3186,a28a200e9e966892,a28a304c4d4d308a,8206699e96966882,29c7d1ecece4253d |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.