Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6B3FD23415925274537C2C134AA5B3FD1B6999BFAE70A400EECC7FA2BF9C90B42B15D |
|
CONTENT
ssdeep
|
768:BtE5k8/tpR4nXF6YjOpSpFlTC6rrsqWQCc1dyx07hwTHf1cVj15Dk:/wtpR4nXBKpSpFl26vl/1dyxvTO9rDk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ad6969ed6d61 |
|
VISUAL
aHash
|
0004040404feffff |
|
VISUAL
dHash
|
dccccccccc8c002b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
0a003000c00 |
|
VISUAL
cropResistant
|
4568ea2e95848458,0000408080400000,000041a121410000,00204080a0004080,8a9234985aa22024,8c000957562b2b2b,c0cccccccccccc8c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.