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Digital forensics is a branch of forensic science that focuses on recovering and investigating material found in digital devices related to cybercrime. Digital forensics software focuses on uncovering, interpreting, and preserving electronic data evidence while investigating security incidents.
Digital forensics software is part of digital forensic science. As electronic devices are taking a substantial space in modern lifestyles, knowingly or unknowingly, criminals or offenders use them in their malicious acts. This makes these devices solid pieces of evidence to support or refute an accused in criminal and civil courts. Various types of digital forensics software help investigate networks and devices.
Network forensics software
Network forensics software is related to monitoring and analyzing computer network traffic to collect important information and legal evidence. This software examines traffic across a network suspected of being involved in malicious activities, like spreading malware or stealing credentials.
Wireless forensics software
Wireless forensics software is a division of network forensics software. This software offers the tools needed to collect and analyze data from wireless network traffic that can be presented as valid digital evidence in a court of law.
Database forensics software
Database forensics software examines databases and their related metadata. Database forensics software applies investigative techniques such as analytic analysis to database contents and its metadata to find digital evidence.
Malware forensics software
Malware forensics software deals with identifying malicious code to study payload, viruses, worms, etc. Malware forensics software analyzes and investigates possible malware culprits and the source of the attack. It checks for malicious code and finds its entry, propagation method, and impact on the system.
Email forensics software
Email forensics software deals with the recovery and analysis of emails, including deleted emails, calendars, and contacts. Email forensics software also analyzes emails for content to determine the source, date, time, the actual sender, and recipients to find digital evidence.
Memory forensics software
Memory forensics software collects data from system memory (system registers, cache, RAM) in raw form and then carves the data from the raw dump. Memory forensics software's primary application is the investigation of advanced computer attacks, which are stealthy enough to avoid leaving data on the computer's hard drive. In turn, the memory (RAM) must be analyzed for forensic information.
Mobile phone forensics software
Mobile phone forensic software examines and analyzes mobile devices. It retrieves phone and SIM contacts, call logs, incoming, and outgoing SMS/MMS, audio, videos, etc., from mobile phones. Most applications store their data in database files on a mobile phone.
Disk and data capture forensics software
Disk and data capture forensic software focuses on the core part of a computer system and extracts potential forensic artifacts such as files, emails, etc. Many times disk and data capture forensics software is used when a home or office environment is being investigated.
File analysis forensic software deals with files on media, deleted files, files in folders, or files in other files stored on or in some container. The goal of file analysis software is to identify, extract, and analyze these files and the file systems they lie upon to find data that might be valid evidence in a crime.
Registry analysis software
Registry analysis forensics software automatically extracts crucial information from the live registry or the raw registry files found in digital evidence and displays it in user-understandable format. It performs time conversion and translation of binary and other non-ASCII data.
The following are features of digital forensics software:
Identification: Digital forensics software recognizes the devices and resources containing the data that could be part of a forensics investigation. This data can be found on devices such as computers or laptops or users’ personal devices like mobile phones and tablets.
As part of the process, these devices are seized to eliminate the possibility of tampering. If the data is on a server, network, or housed on the cloud, the investigator must ensure no other investigating team has access to it.
Extraction and preservation: After devices have been seized, they must be stored in a secure location so the digital forensics investigator can use digital forensics software to extract relevant data.
This phase involves the creation of a digital copy of the relevant data, known as a “forensic image.” The digital copy is used for analysis and evaluation. This prevents any tampering with the original data, even if the investigation is compromised.
Analysis: Once the devices involved have been identified and isolated, and the data has been duplicated and stored securely, digital forensic software uses various techniques to extract relevant data and examine it, searching for clues or evidence that points to wrongdoing. This often involves recovering and examining deleted, damaged, or encrypted files.
Documentation: Post analysis, the resulting data of the digital forensics software investigation is presented in a way that makes it easy to visualize the entire investigative process and its conclusions. Proper documentation data helps to formulate a timeline of the activities involved in wrongdoing, such as embezzlement, data leakage, or network breaches.
Intellectual property (IP) and internal investigations are typical digital forensic software use cases. IP cases include theft, industrial espionage, IP misconduct, fraud, personal injury or death, or sexual harassment. Digital forensics software helps find evidence in such cases. Below are areas where digital forensics software is useful.
Data recovery: Data recovery is often the use of digital forensics software. It helps to recover stolen or lost information in devices people use.
Damage analysis: Digital forensics software is used for damage analysis to discover vulnerabilities and remediate them to prevent cyber attacks.
Digital forensics software is used for criminal, lawbreaking, and civil cases with contractual disputes between commercial parties. Digital forensics software helps examine digital evidence in these cases.
Investigation agencies: Digital forensic software is important in private corporate investigations. Using digital forensics software for incidents like network intrusion, authorities can attribute evidence to suspects, confirm alibis, identify intent or authenticate documents. Many agencies leverage a company’s intrusion detection and prevention system to explore crimes and use digital forensics to collect and analyze digital evidence.
National security agencies: National security agencies use digital forensics software to investigate emails from suspected terrorists.
Software solutions can come with their own set of challenges.
Technical challenges: Digital forensics software may have challenges when identifying hidden data that may be encrypted on a device. While encryption ensures data privacy, attackers may also use it to hide their digital crimes. Cybercriminals can hide data inside storage and delete data from computer systems. Cyber attackers can also use a covert channel to conceal their connection to the compromised system.
Below are some common challenges of digital forensics software:
Legal challenges: Legal challenges can be privacy concerns and data storage accessibility regulations. Some laws require corporations to delete personal information within a certain time frame after an incident, while other legal frameworks may not recognize every aspect of digital forensics software.
Below are some common legal challenges of digital forensics software:
Resource challenges: As data flows across networks, it may increase in volume, making it difficult for digital forensics software to identify original and relevant data.
Since technology is constantly changing, it may be challenging to read digital evidence since new versions of systems may not be compatible with old versions of software that don’t have backward compatibility support.