Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161734222D3531903A0BBC5D8F072478D2291468DC7534B79A7BD63BAB9CFDB63612398 |
|
CONTENT
ssdeep
|
1536:2M14F5nMJK0e3eA+FyzEf0Q57rl4pTMLHJeln6eerdeeekdzpTsfHKR+u02lkGA2:G857rl4pXGTcqijC6Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f26d2c2897979287 |
|
VISUAL
aHash
|
00c1e57e7effff7e |
|
VISUAL
dHash
|
16978dcdcc9dcddc |
|
VISUAL
wHash
|
00c1447e3cfd7c7c |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
16978dcdcc9dcddc,8941c5cd3551c1c5,6175d5353326648b |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.