Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197A3CB23421975274537C2D1347A5B3BD1A6D99BFAE70A010EECC7FA2BFACA0741B119 |
|
CONTENT
ssdeep
|
768:m/ktpR4nXF6YjOpSpFlTC6rrs5k1xJKu4:mstpR4nXBKpSpFl26vUkJKu4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed4d58ea6dc9 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
dcccccbcbc3c002b |
|
VISUAL
wHash
|
000604060effffff |
|
VISUAL
colorHash
|
12002000e00 |
|
VISUAL
cropResistant
|
4d50544c112020c0,00004020a0400000,000041a121410000,00204020a0004000,8a92b68898d32422,3c000956562b2b2b,cb3cccccbcfcbc38 |
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.