Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9235B726722B8B843DB91EEB73C3D46B2D2489DF8C74554B5C95A8E13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a3+EsZx8/G8S4WDaw1MjBjwUMjBCwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:a3+EsZ/8lWDaw1MjBjwUMjBCwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c494919cdb6b2b6 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
33712c2e36303430 |
|
VISUAL
wHash
|
00008f878f9f9f9f |
|
VISUAL
colorHash
|
0e000038000 |
|
VISUAL
cropResistant
|
33712c2e36303430,ffffdfdad65effff,0cb2b2b2b2323008 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.