Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1E100E1D444DD37435286D9A7F66B0B76D2C349CF03094493F883AB9BDECA0CA2299D |
|
CONTENT
ssdeep
|
96:Tkfn1DtSTBJ8v67GvVS1tGhFC6XmHFSSXIHF5ujGXW4/yfY3JEmSTyR:Qfn1DcD8icetGSya4ogJEDk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c858b7373f9c48e0 |
|
VISUAL
aHash
|
000018000000ffff |
|
VISUAL
dHash
|
4890b23294000000 |
|
VISUAL
wHash
|
8040d81800ffffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
929172a495d5121a,80a2a2a2a2a2a282,0182a2a2a2a2a241,0182a2a2a2a2a280,0000000000000000,504cb2b232b00c10 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.