Sextortion and Laws in India

What is SEXTORTION?

A form of sexual exploitation that employs non-physical forms of coercion by threatening to release sexual images or information to extort monetary or sexual favors from the victim.
Modus Operandi
1) The scammers persuade the dater to send sexually explicit photos. Once they get the photos, the scammers identify themselves as law enforcement, telling the dater they sent the pictures to a minor.
They then tell the person to pay up in order to avoid arrest.
The scammers are not only identifying themselves as law enforcement, they are also using actual names of officers.
“These people are being contacted by Detective Don Peterson and it isn’t me,” Peterson told the paper.
More than 100 people have paid between $500 to $1,500 to try to avoid arrest.
2) The groups is to create online accounts of females and post pictures of attractive ladies to draw clients. They would then post pornographic images and entice their victims to have video chats with them, usually with lewd content and conversation.
Once they obtain the incriminating videos, the groups would threaten to send the video chats to the victim's friends or relatives unless they send money.
The victims are allegedly forced to send $500 to $2,000 – or P20,000 to P90,000 – through Western Union in exchange for the removal of the online video chat.

How to prevent sextortion?
Talk about sextortion
Sextortion thrives on silence; spread knowledge. Talk to two people and ask them to spread the word to two more. Keep the chain going.
Spread the word
Without a name – SEXTORTION – it is difficult to lift an abuse out of the realm of bad things we know happen and passively accept as the way of the world, and into the realm of things we will no longer tolerate and actively seek to change.
Learn more about sextortion
Once you become aware of sextortion, you see how pervasive it is. Gather and share information about sextortion.

Laws in INDIA:
1) Section 66E of Information Technology Act,2000
Violation of Privacy - Whoever, intentionally or knowingly captures, publishes or transmits the image of a private area of any person without his or her consent, under circumstances violating the privacy of that person
2) Section 67 of Information Technology Act
Punishment for publishing or transmitting obscene material in electronic form
3) Section 67A of Information Technology Act
Punishment for publishing or transmitting of material containing sexually explicit act, etc. in electronic form
4) Section 67B of Information Technology Act
Punishment for Child Pornography in electronic form
Interpol investigation
5) Section 387 of Indian Penal Code,1860  for Extortion is also applicable

6) Section 506 of The IPC,1860 2nd Para is applicable if the extortionist is imputing the chastity of the girl. 

India case law for sextortion [ Bail Stayed]

The Supreme Court on 01/02/2016 stayed the anticipatory bail given to sextortion case accused M. Satyanandam, suspended APSPDCL, Divisional Engineer. Satyanandam, who was working as DE in electricity department was booked for active involvement in the gang that sexually exploited women and resorted to extortion. 

He was fourth accused in the case registered at Machavaram on December 11, 2015 following a complaint given by a woman to the commissioner of police.  

An INTERPOL-coordinated operation targeting organized crime networks behind ‘sextortion’ cases around the world has resulted in the arrest of 58 individuals, including three men linked to the group which harassed Scottish teenager Daniel Perry.
Perry, a 17-year-old victim of an online blackmail attempt, died after jumping off the Forth Road Bridge near Edinburgh in July last year.

In the first operation of its kind, information shared between the INTERPOL Digital Crime Centre (IDCC), Hong Kong Police Force, Singapore Police Force and the Philippines National Police (PNP) Anti-Cybercrime Group led to the identification of between 190 and 195 individuals working for organized crime groups operating out of the Philippines.

Maharashtra Cyber Project first batch training

I am involved in coaching the Police officers from all Districts in the State of Maharashtra under the Maharashtra Cyber Project. I have trained them in Cyber crimes with applicable Cyber Laws and intricacies of Electronic Evidence. hese police officers would be placed at 30 different cyber crime cells at each district level in the state of Maharashtra. This is my contribution to make Maharashtra Cyber Safe, and get more convictions in cyber crime matters .

#cybercrime #evidence #law #courts # cyberlaw #cybersecurity

#cybersafe #maharashtra #prashantmali

IoT Malware and its Types 2017

IoT Malware Types Revealed 

The Internet of Things (IoT) is creating a new environment where malware can be used to create powerful botnets. Recently, IoT devices have been used to create large-scale botnets—networks of devices infected with self-propagating malware—that can execute crippling distributed denial-of-service (DDoS) attacks. IoT devices are particularly susceptible to malware, so protecting these devices and connected hardware is critical to protect systems and networks.

Linux.Darlloz

The Linux.Darlloz was discovered in late 2013. The worm exploited an old PHP vulnerability (CVE-2012-1823) to access a system, it escalated privileges through default and common credential lists, it propagated through the network, and it established a backdoor on the system. While the original malware only infected computers running Intel x86 chip architectures, other versions were designed to target ARM, PPC, MIPS and MIPSEL chip architectures commonly used in IoT devices. The worm also scanned systems for Linux.Aidra and attempted to remove any files related to the threat and to block any ports used by Aidra for communication [1].

Aidra

Aidra was discovered after the publication of the 2013 research paper that described the results of the 2012 Internet Census. The malware was designed to search for open telnet ports that could be accessed using known default credentials [2]. According to its author, Federico Fazzi, the malware was introduced in early 2012 as an IRC-based mass scanning and exploitation tool. The code can be compiled for MIPS, MIPSEL, ARM, PPC, x86/x86-64 and SuperH. Aidra is designed to target IoT devices that run embedded forms of Linux with active Telnet connectivity and default or no password. Some variants of Aidra can retrieve router passwords through the /cgi-bin/firmwarecfg bug found on some outdated D-Link and Netgear devices.

The malware attempts to connect to a telnet port using default credentials and if it succeeds, it downloads and executes a script called getbinaries.sh, which removes other malware binaries and prevents the device from being compromised by other competing malware. Some variants attempt to change the device credentials. Malware binaries are downloaded to /var/run, /var/tmp, /var/etc. Consequently, the malware can be removed by rebooting the device because the directories are stored in RAM. Then the infected device connects to an IRC server, joins a channel, reads a topic, and follows the instructions. Aidra is capable of scanning, flooding, and spoofing targets randomly or recursively. Further, its code can be easily tailored to a threat actor’s needs [3].

Qbot/ Qakbot

Qbot is a network-aware worm capable of harvesting credentials and creating backdoors [4]. The Qbot malware, first discovered around 2009, continues to be adapted and employed by script kiddies and cybercriminals [5]. Qbot leverages the Rig exploit kit against vulnerable websites to gain write access on the backend and to inject malicious JavaScript onto the site. To avoid suspicion, the malicious JavaScript may be appended onto the beginning or end of a legitimate JavaScript. The Rig exploit kit is a two-tier model consisting of a gate and a landing page. While a new set of domains are used for each IP address, the dense population of each IP address with many subdomains allows for a degree of undesired visibility into the botnet structure. The majority of the gate and landing page domains are registered through GoDaddy accounts; many of which are believed to be exploited compromised accounts. The Rig Gate URL returns the main_color_handle variable is returned. It contains a large string of characters that are used to determine the Rig exploit kit landing page. The string is passed through a function that replaces all illegal characters in HEX notation (0-9 and a-f) and then translates the result to ASCII and embeds the current page with an i frame with the landing page loaded with the exploit. Random variable names, dynamically generated from the Rig Gate URL contained in the kit, are used in the malicious script to obfuscate the functionality.

Users’ Windows sessions are injected with the malware via a watering-hole attack or a drive-by download; alternately, modified Qbot derivatives deliver the malware through malicious emails. Once installed on the system, the malware runs a network speed test and it sends an initial beacon, containing a list of installed software, user privileges, and the infected network external IP address, to the FTP server. The malware injects itself into a running explorer.exe process and it infects processes as they start up. The bot injects a DLL into processes that will extract its strings, configuration, APIs, and critical strings block into heap-allocated buffers, when run. Qbot contains its configuration parameters, such as FTP credentials, C2 settings, and timestamps, in an internal table. The malware places system-wide inline hooks to intercept or modify network traffic, to modify or redirect browser queries, to infect new processes, and to hide its presence. Qbot uses a domain generation algorithm for all C2 communications [31].

Upon installation, modern variants contact the C2 infrastructure to receive instructions, to update, and to mutate the appearance of the malware by self-recompiling or self-re-encrypting the malware as a server-based polymorphism, an obfuscation mechanism meant to confound anti-malware application and research efforts. The server-based polymorphism enables Qbot to avoid most anti-virus products because the malware updates itself to a new version every few days, and re-encrypts itself to remain undetectable for long periods of time. The malware can detect whether it is running in a Virtual Machine sandbox and it can alter its behavior to avoid detection [32].

Once Qbot has infected a system, it begins harvesting credentials contained in Windows Credential Store (Outlook, Windows Live Messenger, Remote Desktop, Gmail Messenger) and password stored by the Internet Explorer credential manager. Further credentials are sniffed from network traffic. The attackers can use the stolen credentials and system information to access FTP servers or to infect vulnerable websites to further spread the malware [32]. Qbot attempts to spread to open shares across the network through brute force password attempts or through attempts to access the Windows Credential Store. Qbot is also capable of intercepting browser information, such as banking information, and writing the data into named pipes and then sending it to a remote server [31].

Over a two-week investigation, BAE Systems discovered over 54,517 machines infected in a Qbot botnet. Most these systems (85%) were located in the United States. The explosive popularity of Mirai and subsequent oversaturation of the IoT threat landscape has led to a decline in Qbot botnets. 

BASHLITE/ Lizkebab/ Torlus/ gafgyt

BASHLITE botnets are responsible for enslaving over 1 million devices. One security firm estimates that of compromised devices, 95 percent were IP cameras or DVR units, 4 percent were home routers, and less than 1 percent were Linux servers. DVRs are high value bots because the devices are configured with open telnet and other web interfaces, often rely on default credentials, and are able to process high bandwidth, as is required to stream video. The majority of the infected devices were located in Taiwan, Brazil, and Columbia. Due to compartmentalization, the size of a monitored botnets is often difficult for security researchers to estimate. Oppositely, the C2 IPs associated with campaigns are often hardcoded into the malware and are easier to monitor [33].

The BASHLITE source code was leaked in early 2015 and has since been adapted into over a dozen variants. The malware conducts two scans to discover vulnerable devices to infect. The first attack vector utilizes the bots to port scan IP ranges for telnet servers and then it instructs them to brute force credentials in order to access and infect the device. The second attack vector employs external scanners to detect vulnerable devices and then infects those devices by using brute force on the credentials, by exploiting known security vulnerabilities, or by leveraging another attack vector [8]. Once the attacker has compromised a device, the malware tools execute the “busybox wget” and “wget” commands to retrieve the DDoS payloads. The malware does not identify the architecture of the compromised device; instead, it attempts to run different versions that have been compiled for different architectures, until one executes. Most BASHLITE attacks are simple UDP and TCP floods, though the malware does support a less used feature to spoof source addresses and some variants support HTTP attacks [6]. BASHLITE is a predecessor to Mirai, and the botnets are now in direct competition for a diminishing pool of vulnerable IoT devices

 [7].

Mirai

Mirai’s (Japanese for "the future") name comes from the discovered binaries having the name “mirai.()” and was initially discovered in August. It arrives as an ELF Linux executable and focuses mainly on DVRs, routers, web IP cameras, Linux servers, and other devices that are running Busybox a common tool for IoT embedded devices.

Mirai uses the default password for the telnet or SSH accounts to gain shell access. Once it’s able to get access to this account, it installs malware on the system. This malware creates delayed processes and then deletes files that might alert antivirus software to its presence. Because of this, it’s difficult to identify an infected system without doing a memory analysis.

Mirai opens ports and creates a connection with bot masters and then starts looking for other devices it can infect. After that, it waits for more instructions. Since it has no activity while it waits and no files left on the system, it is difficult to detect.

The low detection ratio can also be explained by the Mirai feature to delete all malware files once it successfully sets the backdoor port into the system. It leaves only the delayed process where the malware is running after being executed.

Mirai is a piece of malware that infects IoT devices and is used as a launch platform for DDoS attacks. Mirai’s C&C (command and control) code is coded in Go, while its bots are coded in C.

Like most malware in this category, Mirai is built for two core purposes:

• Locate and compromise IoT devices to further grow the botnet.
• Launch DDoS attacks based on instructions received from a remote C&C.

To fulfill its recruitment function, Mirai performs wide-ranging scans of IP addresses. The purpose of these scans is to locate under-secured IoT devices that could be remotely accessed via easily guessable login credentials—usually factory default usernames and passwords (e.g., admin/admin).

Mirai uses a brute force technique for guessing passwords a.k.a. dictionary attacks.

On September 30, 2016, a script kiddie using the moniker “Anna-senpai” posted the Mirai source code on Hack Forums, in a claimed attempt to “retire” due to acquired wealth and due to a dissolving botnet base resulting from ISP intervention. 

Investigation of the attack uncovered 49,657 unique IPs which hosted Mirai-infected devices. these were mostly CCTV cameras—a common exploit of DDoS botnet herders. Other victimized devices included DVRs and routers.

Overall, IP addresses of Mirai-infected devices were spotted in 164 countries, appearing even in such remote locations as Montenegro, Tajikistan and Somalia

How to Prevent Infection

To prevent infection:

• Stop the telnet service and block TCP port 48101 if you’re not currently using it
• Set Busybox execution to be run only for a specific user
• Scan for open telnet connections on your network

Mitigation

In order to remove the Mirai malware from an infected IoT device, users and administrators should take the following actions:

• Disconnect device from the network.
• While disconnected from the network and Internet, perform a reboot. Because Mirai malware exists in dynamic memory, rebooting the device clears the malware.
• Ensure that the password for accessing the device has been changed from the default password to a strong password. 
• You should reconnect to the network only after rebooting and changing the password. If you reconnect before changing the password, the device could be quickly reinfected with the Mirai malware.

Preventive Steps

In order to prevent a malware infection on an IoT device, users and administrators should take following precautions:

• Ensure all default passwords are changed to strong passwords. Default usernames and passwords for most devices can easily be found on the Internet, making devices with default passwords extremely vulnerable.
• Update IoT devices with security patches as soon as patches become available.
• Disable Universal Plug and Play (UPnP) on routers unless absolutely necessary.
• Purchase IoT devices from companies with a reputation for providing secure devices.
• Consumers should be aware of the capabilities of the devices and appliances installed in their homes and businesses. If a device comes with a default password or an open Wi-Fi connection, consumers should change the password and only allow it to operate on a home network with a secured Wi-Fi router.
• Understand the capabilities of any medical devices intended for at-home use. If the device transmits data or can be operated remotely, it has the potential to be infected.
• Monitor Internet Protocol (IP) port 2323/TCP and port 23/TCP for attempts to gain unauthorized control over IoT devices using the network terminal (Telnet) protocol.(link is external)
• Look for suspicious traffic on port 48101. Infected devices often attempt to spread malware by using port 48101 to send results to the threat actor.

References :

[1] "The Internet of Things: New Threats Emerge in a Connected World," in Symantec, Symantec, 2014. [Online]. Available: https://www.symantec.com/connect/blogs/internet-things-new-threats-emerge- connected-world-0. Accessed: Oct. 25, 2016.

[2] M. Mimoso, C. Brook, and T. Spring, "New IoT Botnet Malware borrows from Mirai," Threatpost, 2016. [Online]. Available: https://threatpost.com/new-iot-botnet-malware-borrows-from- mirai/121705/. Accessed: Nov. 1, 2016.

[3] "Lightaidra 0x2012," in House of Vierko, 2012. [Online]. Available: http://vierko.org/tech/lightaidra- 0x2012/. Accessed: Nov. 10, 2016.

[4] "The Return of Qbot," in BAE Systems, 2016. [Online]. Available: https://resources.baesystems.com/pages/view.php?ref=39115&k=46713a20f9. Accessed: Oct. 26, 2016.

[5] G. Cluley, "Mutating Qbot worm Infects over 54, 000 PCs at organizations worldwide," in Tripwire, Tripwire, 2016. [Online]. Available: https://www.tripwire.com/state-of-security/featured/qbot- malware/. Accessed: Oct. 26, 2016.

[6] T. Spring, K. Carpenter, and M. Mimoso, "BASHLITE family of Malware Infects 1 Million IoT devices," in Threat Post, Threatpost, 2016. [Online]. Available: https://threatpost.com/bashlite-family-of- malware-infects-1-million-iot-devices/120230/. Accessed: Oct. 25, 2016.

[7] B. Krebs, "Source code for IoT Botnet ‘Mirai’ released," in KrebsonSecurity, 2016. [Online]. Available: https://krebsonsecurity.com/2016/10/source-code-for-iot-botnet-mirai-released/. Accessed: Oct. 23, 2016. 

[8] B. Krebs, "KrebsOnSecurity hit with record DDoS," in KrebsonSecurity, 2016. [Online]. Available: https://krebsonsecurity.com/2016/09/krebsonsecurity-hit-with-record-ddos/. Accessed: Oct. 23, 2016.

Compiled Version by Author

Cyber Frauds and Laws in India

Stop Cyber Frauds.. Share & help.

Fraud Internet Websites and Phishing knowledge

1. Before checking name of any website, first look for the domain extension i.e .com,  .org,  .co.in,  .net,  .in etc.

The name just before extension is the *DOMAIN NAME* of the website. 

Eg: www.domainname.com

E.g., in http://amazon.diwali-festivals.com, the word before .com is *"diwali-festivals"* (and NOT "amazon"). 

*AMAZON* word is seperated with ( . ) dot So, this webpage *does _not_ belong to amazon.com*, but it belongs to *"diwali-festivals.com"*, which most of us haven't heard of before.

You can similarly check for fraudulent (so-called) banking websites.

Before your e-banking login, make sure that the name just before ".com" is the name of your bank. 

Eg:

"something.icicibank.com"  belongs to +ICICI*, 

but "icicibank.something.com" belongs to something and not icicibank.

"icicibank.com.nu"  belongs to "com"!

2. There can also be a typo in domain done purposely to confuse user to do phishing. eg: www.facebookk.com or faceb00k dot com does not relates to facebook.com

3. Nowdays you may have also seen various spam messages forwarded by users claiming to get free mobile or mobile phone at Rs.250/- or Free Talktime etc. 

Before attempting to forward such messages, always check for domain name and website. Inputing data and doing some task as said on their website may result in your smartphone infected by some malware. There are several scripts present on such website which may be executed. So Beware and dont fall in such trap. There is nothing *FREE* in this world.

4. Also please check before downloading apk or android apps for smartphone. http://googleplay.com/store/apps/com.ife.google

Does not belongs to *Google*, it belongs to googleplay.com which is not owned by Google. 

But http://play.google.com/store/apps/com.ife.google belongs to *Google*.

Please share this information widely and help your family and friends avoid falling for such tricks.

#cybersecurity #cybercrime #banking #fraud #cyberfraud #phishing #socialmedia #ecommerce

New age Cyber Crimes : 2016

New Age Cyber Crimes : 2016

New trends in cybercrime are emerging all the time, with estimated costs to the global economy running to billions of dollars.

In the past, cybercrime was committed mainly by individuals or small groups. Today, we are seeing highly complex cybercriminal networks bring together individuals from across the globe in real time to commit crimes on an unprecedented scale.

Criminal organizations turning increasingly to the Internet to facilitate their activities and maximize their profit in the shortest time. The crimes themselves are not necessarily new – such as theft, fraud, illegal gambling, sale of fake medicines – but they are evolving in line with the opportunities presented online and therefore becoming more widespread and damaging.

Identity theft

Identity theft and fraud is one of the most common types of cybercrime. The term Identity Theft is used, when a person purports to be some other person, with a view to creating a fraud for financial gains. When this is done online on the Internet, its is called Online Identity Theft. The most common source to steal identity information of others, are data breaches affecting government or federal websites. It can be data breaches of private websites too, that contain important information such as – credit card information, address, email ID’s, etc.

Ransomware

Ransomware enters your computer network and encrypts your files using public-key encryption, and unlike other malware this encryption key remains on the cyber criminals server. Attacked users are then asked to pay huge ransoms to receive this private key via Bit Coins.

DDoS attacks

DDoS attacks are used to make an online service unavailable and bring it down, by bombarding or overwhelming it with traffic from multiple locations and sources. Large networks of infected computers, called Botnets are developed by planting malware on the victim computers. The idea is normally to draw attention to the DDOS attack, and allow the hacker to hack into a system. Extortion and blackmail could be the other motivations.

Botnets

Botnets are networks of compromised computers, controlled by remote attackers in order to perform such illicit tasks as sending spam or attacking other computers.  Computer Bots can also be used act like malware and carry out malicious tasks. Then can be used to assemble a network of computers and then compromise them.

Up to now, most botnets have been assembled by constantly roaming the internet probing for PCs that are unprotected. When a vulnerable machine is discovered, it is infected with malware that lies there undetected, awaiting the command to start pinging the site that has been chosen for an attack. For the more sophisticated cybercriminal, though, this way of doing things is beginning to look obsolete. The PC market has peaked, so zombie machines will become rarer and existing PCs tend to be better managed and protected from intrusion than they used to be. We are getting to the point, in other words, where PC-based botnets are soyesterday.

So where is the smart online criminal going to go next? Obligingly, the tech industry has provided him with the capability to assemble even bigger botnets with much less effort. The new magic ingredient is the IOT internet of things – small, networked devices that are wide open to penetration. The attacks will come from large numbers of enslaved devices – routers, cameras, networked TVs and the like. 

Spam and Phishing

Spamming and phishing are two very common forms of cybercrimes. There is not much you can do to control them. Spam is basically unwanted emails and messages. They use Spambots.  Phishing is a method where cyber criminals offer a bait so that you take it and give out the information they want. The bait can be in form of a business proposal, announcement of a lottery to which you never subscribed, and anything that promises you money for nothing or a small favor. There are online loans companies too, making claims that you can get insecure loans irrespective of your location. Doing business with such claims, you are sure to suffer both financially and mentally. 

Phishing has its variants too – notably among them are Tabnapping, Tabjacking, Vishing & Smishing.   Such spamming and phishing attempts are mostly emails sent by random people whom you did not ever hear of. You should stay away from any such offers especially when you feel that the offer is too good. Do not get into any kind of agreements that promise something too good to be true. In most cases, they are fake offers aiming to get your information and to get your money directly or indirectly.

Social Engineering

Social engineering is a method where the cyber criminals make a direct contact with you using emails or phones – mostly the latter. They try to gain your confidence and once they succeed at it, they get the information they need. This information can be about you, your money, your company where you work or anything that can be of interest to the cyber criminals.

It is easy to find out basic information about people from the Internet. Using this information as the base, the cyber criminals try to befriend you and once they succeed, they will disappear, leaving you prone to different financial injuries directly and indirectly. They can sell the information obtained by you or use it to secure things like loans in your name. The latter case is of Identity theft. You should be very careful when dealing with strangers – both on phone and on the Internet.

Malvertising

Malvertising is a method whereby users download malicious code by simply clicking at some advertisement on any website that is infected. In most cases, the websites are innocent. It is the cyber criminals who insert malicious advertisements on the websites without the knowledge of the latter. It is the work of advert companies to check out if an advertisement is malicious but given the number of advertisements they have to deal with, the malverts easily pass off as genuine ads.

In other cases, the cyber criminals show clean ads for a period of time and then replace it with malverts so that the websites and advertisements do not suspect. They display the malverts for a while and remove it from the site after meeting their targets. All this is so fast that the website does not even know they were used as a tool for cybercrime. Malvertising is one of the fastest, increasing types of cybercrime.

PUPs

PUPs, commonly known as  Potentially Unwanted Programs are less harmful but more annoying malware. It installs unwanted software in your system including search agents and toolbars. They include spyware, adware, as well as dialers. Bitcoin miner was one of the most commonly noticed PUPs in 2013.

Drive-By-Downloads

Drive By Downloads too, come close to malvertising. You visit a website and it triggers a download of malicious code to your computer. These computers are then used to aggregate data and to manipulate other computers as well.

The websites may or may not know that they have been compromised. Mostly, the cyber criminals use vulnerable software such as Java and Adobe Flash and Microsoft Silverlight to inject malicious codes as soon as a browser visits the infected website. The user does not even know that there is a download in progress.

Remote Administration Tools

Remote Administration Tools are used to carry out illegal activities. It can be used to control the computer using shell commands, steal files/data, send location of the computer to a remote controlling device and more.

Exploit Kits

A vulnerability means some problem in the coding of a software that enables cyber criminals to gain control of your computer. There are ready to use tools (exploit kits) in the Internet market which people can buy and use it against you. These exploit kits are upgraded just like normal software. Only difference is these are illegal. They are available mostly in hacking forums as well as on the Darknet.

Scams

Notable among Internet scams are (IRS Scams, Insurance Scams, Matrimonial website scams, Techsupport Scams), scams which misuse the Microsoft name and other general tech support scams. Scamsters phone computer users randomly and offer to fix their computer for a fee. Every single day, scores of innocent people are trapped by scam artists into Online Tech Support Scams and forced to shell out hundreds of dollars for non-existent computer problems. 

People should note that employees involved in call centre scams are prosecutable under Section 66(C) & (D) of The IT Act,2000 as well sections of IPC involving Extortion and Cheating are also applied which are non-bailable offences, currently employees working in Mira Road IRS call centre Scam fraud are in jail without bail from last 15 days.