Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A426033A600DD2A4DAB55CCF2C086895169C345FB324CC6A27491FF7BC9DF129A93AD |
|
CONTENT
ssdeep
|
192:MsT3xYcUcC3/taUXasmx/McnthWeNWbGiW7d2hXow0fMmUU8VCoru:scUcC3/tlyiW7d2hXow0fMmUFCoru |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cacb35d125956af0 |
|
VISUAL
aHash
|
f9f8f838f8f8ff00 |
|
VISUAL
dHash
|
9371717191510137 |
|
VISUAL
wHash
|
f838f838f8f8f900 |
|
VISUAL
colorHash
|
07001200038 |
|
VISUAL
cropResistant
|
d371717191510137,454505ccc457454d,0a166a724836ea02,05012db5b5200900 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.