November 25, 2017, 1:23 pm
Facebook iconTwitter iconYouTube iconGoogle+ icon
1 Philippine Peso = 0.07254 UAE Dirham
1 Philippine Peso = 2.22066 Albanian Lek
1 Philippine Peso = 0.03521 Neth Antilles Guilder
1 Philippine Peso = 0.34299 Argentine Peso
1 Philippine Peso = 0.02592 Australian Dollar
1 Philippine Peso = 0.03516 Aruba Florin
1 Philippine Peso = 0.03951 Barbados Dollar
1 Philippine Peso = 1.60589 Bangladesh Taka
1 Philippine Peso = 0.03253 Bulgarian Lev
1 Philippine Peso = 0.00746 Bahraini Dinar
1 Philippine Peso = 34.51185 Burundi Franc
1 Philippine Peso = 0.01976 Bermuda Dollar
1 Philippine Peso = 0.02656 Brunei Dollar
1 Philippine Peso = 0.13552 Bolivian Boliviano
1 Philippine Peso = 0.06373 Brazilian Real
1 Philippine Peso = 0.01976 Bahamian Dollar
1 Philippine Peso = 1.27914 Bhutan Ngultrum
1 Philippine Peso = 0.20568 Botswana Pula
1 Philippine Peso = 395.49586 Belarus Ruble
1 Philippine Peso = 0.03947 Belize Dollar
1 Philippine Peso = 0.0251 Canadian Dollar
1 Philippine Peso = 0.01934 Swiss Franc
1 Philippine Peso = 12.5162 Chilean Peso
1 Philippine Peso = 0.13038 Chinese Yuan
1 Philippine Peso = 58.75346 Colombian Peso
1 Philippine Peso = 11.09502 Costa Rica Colon
1 Philippine Peso = 0.01976 Cuban Peso
1 Philippine Peso = 1.82714 Cape Verde Escudo
1 Philippine Peso = 0.42146 Czech Koruna
1 Philippine Peso = 3.5079 Djibouti Franc
1 Philippine Peso = 0.12329 Danish Krone
1 Philippine Peso = 0.94607 Dominican Peso
1 Philippine Peso = 2.26118 Algerian Dinar
1 Philippine Peso = 0.25918 Estonian Kroon
1 Philippine Peso = 0.34868 Egyptian Pound
1 Philippine Peso = 0.53457 Ethiopian Birr
1 Philippine Peso = 0.01656 Euro
1 Philippine Peso = 0.04139 Fiji Dollar
1 Philippine Peso = 0.01481 Falkland Islands Pound
1 Philippine Peso = 0.01481 British Pound
1 Philippine Peso = 0.09104 Ghanaian Cedi
1 Philippine Peso = 0.92967 Gambian Dalasi
1 Philippine Peso = 177.69657 Guinea Franc
1 Philippine Peso = 0.1449 Guatemala Quetzal
1 Philippine Peso = 4.07922 Guyana Dollar
1 Philippine Peso = 0.15426 Hong Kong Dollar
1 Philippine Peso = 0.46501 Honduras Lempira
1 Philippine Peso = 0.12517 Croatian Kuna
1 Philippine Peso = 1.22145 Haiti Gourde
1 Philippine Peso = 5.16041 Hungarian Forint
1 Philippine Peso = 266.6535 Indonesian Rupiah
1 Philippine Peso = 0.0693 Israeli Shekel
1 Philippine Peso = 1.27625 Indian Rupee
1 Philippine Peso = 23.03437 Iraqi Dinar
1 Philippine Peso = 696.06876 Iran Rial
1 Philippine Peso = 2.03813 Iceland Krona
1 Philippine Peso = 2.47234 Jamaican Dollar
1 Philippine Peso = 0.01397 Jordanian Dinar
1 Philippine Peso = 2.20192 Japanese Yen
1 Philippine Peso = 2.03576 Kenyan Shilling
1 Philippine Peso = 1.37669 Kyrgyzstan Som
1 Philippine Peso = 79.67207 Cambodia Riel
1 Philippine Peso = 8.28586 Comoros Franc
1 Philippine Peso = 17.77953 North Korean Won
1 Philippine Peso = 21.38305 Korean Won
1 Philippine Peso = 0.00596 Kuwaiti Dinar
1 Philippine Peso = 0.0162 Cayman Islands Dollar
1 Philippine Peso = 6.52213 Kazakhstan Tenge
1 Philippine Peso = 164.26314 Lao Kip
1 Philippine Peso = 29.7906 Lebanese Pound
1 Philippine Peso = 3.03635 Sri Lanka Rupee
1 Philippine Peso = 2.46247 Liberian Dollar
1 Philippine Peso = 0.27292 Lesotho Loti
1 Philippine Peso = 0.06023 Lithuanian Lita
1 Philippine Peso = 0.01226 Latvian Lat
1 Philippine Peso = 0.02699 Libyan Dinar
1 Philippine Peso = 0.18541 Moroccan Dirham
1 Philippine Peso = 0.34526 Moldovan Leu
1 Philippine Peso = 1.01442 Macedonian Denar
1 Philippine Peso = 26.92612 Myanmar Kyat
1 Philippine Peso = 48.20229 Mongolian Tugrik
1 Philippine Peso = 0.15888 Macau Pataca
1 Philippine Peso = 6.91426 Mauritania Ougulya
1 Philippine Peso = 0.68451 Mauritius Rupee
1 Philippine Peso = 0.30047 Maldives Rufiyaa
1 Philippine Peso = 14.14757 Malawi Kwacha
1 Philippine Peso = 0.36633 Mexican Peso
1 Philippine Peso = 0.0813 Malaysian Ringgit
1 Philippine Peso = 0.27483 Namibian Dollar
1 Philippine Peso = 7.03279 Nigerian Naira
1 Philippine Peso = 0.60352 Nicaragua Cordoba
1 Philippine Peso = 0.16042 Norwegian Krone
1 Philippine Peso = 2.04563 Nepalese Rupee
1 Philippine Peso = 0.02867 New Zealand Dollar
1 Philippine Peso = 0.0076 Omani Rial
1 Philippine Peso = 0.01976 Panama Balboa
1 Philippine Peso = 0.06392 Peruvian Nuevo Sol
1 Philippine Peso = 0.06337 Papua New Guinea Kina
1 Philippine Peso = 1 Philippine Peso
1 Philippine Peso = 2.07685 Pakistani Rupee
1 Philippine Peso = 0.0697 Polish Zloty
1 Philippine Peso = 111.98933 Paraguayan Guarani
1 Philippine Peso = 0.07516 Qatar Rial
1 Philippine Peso = 0.07679 Romanian New Leu
1 Philippine Peso = 1.15428 Russian Rouble
1 Philippine Peso = 16.47807 Rwanda Franc
1 Philippine Peso = 0.07408 Saudi Arabian Riyal
1 Philippine Peso = 0.15686 Solomon Islands Dollar
1 Philippine Peso = 0.26162 Seychelles Rupee
1 Philippine Peso = 0.13157 Sudanese Pound
1 Philippine Peso = 0.16365 Swedish Krona
1 Philippine Peso = 0.02658 Singapore Dollar
1 Philippine Peso = 0.01482 St Helena Pound
1 Philippine Peso = 0.43868 Slovak Koruna
1 Philippine Peso = 150.13829 Sierra Leone Leone
1 Philippine Peso = 11.00356 Somali Shilling
1 Philippine Peso = 406.44806 Sao Tome Dobra
1 Philippine Peso = 0.17286 El Salvador Colon
1 Philippine Peso = 10.17345 Syrian Pound
1 Philippine Peso = 0.27485 Swaziland Lilageni
1 Philippine Peso = 0.6448 Thai Baht
1 Philippine Peso = 0.04877 Tunisian Dinar
1 Philippine Peso = 0.04522 Tongan paʻanga
1 Philippine Peso = 0.07781 Turkish Lira
1 Philippine Peso = 0.13097 Trinidad Tobago Dollar
1 Philippine Peso = 0.5918 Taiwan Dollar
1 Philippine Peso = 44.15251 Tanzanian Shilling
1 Philippine Peso = 0.53121 Ukraine Hryvnia
1 Philippine Peso = 71.55275 Ugandan Shilling
1 Philippine Peso = 0.01976 United States Dollar
1 Philippine Peso = 0.57349 Uruguayan New Peso
1 Philippine Peso = 159.22561 Uzbekistan Sum
1 Philippine Peso = 0.19705 Venezuelan Bolivar
1 Philippine Peso = 448.93324 Vietnam Dong
1 Philippine Peso = 2.09581 Vanuatu Vatu
1 Philippine Peso = 0.05077 Samoa Tala
1 Philippine Peso = 10.85875 CFA Franc (BEAC)
1 Philippine Peso = 0.05334 East Caribbean Dollar
1 Philippine Peso = 10.88937 CFA Franc (BCEAO)
1 Philippine Peso = 1.96543 Pacific Franc
1 Philippine Peso = 4.93678 Yemen Riyal
1 Philippine Peso = 0.27485 South African Rand
1 Philippine Peso = 102.51877 Zambian Kwacha
1 Philippine Peso = 7.14935 Zimbabwe dollar

Hunting for IoT devices to be used for massive botnet

THE miso soup came just in time.

It calmed the inner shivers after David Holmes, F5 Networks’ Senior Marketing Manager of Global Security showed me a map of scans and loads on Internet of Things (IoT) devices all over Asia. As we exchange geeky notes on what could have been happening on the shores of China.

“What do you think is happening here?” David quizzed me pointing to Russia

“I think it has to do with the number of endemic China-made phones going around,” I gave my best educated guess, theorizing that it is not impossible for smartphones to have malware embedded in the manufacture. After all, it has been done before with devices like modems and WiFi cameras.

“That’s a thought,” Holmes said as he seemed to have scribbled the idea in his notebook.

Holmes is soldered-on-the-board information security expert who has authored white papers on security topics from the modern DDoS threat spectrum to new paradigms of firewall management. He traces his roots to Cavite and Laguna but has not visited the country until recently.

He has a regular column at SecurityWeek Magazine and also contributes to the industry publications DarkReading, Wired Online, SCMagazine, and Network World.

“Someone is making a massive bot the size of the Death Star,” Holmes joked as he seriously tackled the issue of IoT devices that can either be impregnated with malware code from the start of be infected through communications over the Internet.

“It is entirely possible that the massive increase in scanning activities of IoT happening globally is an indication of how cybercriminals operating on this front,” emphasizes Holmes.

But just how in the world do Death Star-sized botnets come about? 

The scanning activities done by cyber criminals can be monitored from the distance, and indications like a massive annual increase in activities regions known for such nefarious cyber activities.F5 Labs determined the annual growth rate to be 1,373 percent, with a clear spike in the fourth quarter, which is 1.5 times the combined volume in Q1 through Q3. 

This isn’t surprising, given the timing of the Mirai botnet. But Holmes does not want to speculate. This is because cyber attackers don’t possess such immense power on their own. They need to commandeer it and patch it together. That means the unending hunt for vulnerable IoT devices that they can penetrate, compromise and use for their evil intentions.

“You can speculate all you want about how it goes, but it only shows the something big is going to happen.”

In October 2016 the Mirai IoT Botnet Attack sent shockwaves over the digital space–it was totally unexpected but nevertheless pernicious. F5 Labs team dissected the initial massive Mirai botnet attack and warned of the potential of future attacks. And as predicted Mirai continued to wreak havoc and take advantage of vulnerable IoT devices.

Holmes wrote “Making Sense of the Last Month of DDoS Attacks” referring to Distributed Denial of Service (DDos) attacks on several companies abroad. In that piece Holmes made suggested ways to thwart attacks and provided guidance to avoid being compromised. And despite many countermeasures F5 Labs and its data partner, Loryka1, have been monitoring the hunt for IoT attacks for a year now. A report called DDoS’s Newest Minions: IoT Devices, proved what many security experts had long suspected: IoT devices were not only vulnerable, they were already being heavily exploited to pull off large, distributed denial-of-service (DDoS) attacks.

Many infosec analysts first thought of this as impossible. The small brains used by IoT devices seemed to me ameobic compared to the functions needed to create any damage. But combining the power of many vulnerable devices can create a bot destructive enough.

While the number of participating networks in the second half of 2016 stayed relatively flat at 10 percent the number of unique IP addresses participating within those networks grew at a rate of 74 percent. Clearly, threat actors within the same networks have increased their activity.

So, who exactly is involved in the IoT hunt? 

Holmes shared with me the salient points of the report. 

“Why does it not come as a surprise to me that networks in China were on the top of the  list?” I asked Holmes. Primarily state-owned telecom companies and ISPs in China headlined the threat actor list, accounting for 44 percent of all attacks in the thrid quarter and 21 percent in last three months of 2016.

Trailing behind China were Vietnam and the US. Then Russia and the UK in the fourth quarter. The report also outlined that the UK surprisingly jumped to third place in the 4th quarter with most activity coming from an online gaming network.

“China because of the sheer size of the network there, the number of devices, providers and IoT connections make it very appetizing to cyber criminals,” said Oscar Visaya, F5 Networks Country Manager for the Philippines, answering my earlier question.

David is more optimistic than pessimistic about the the whole IoT as attack front issue.

“It is an opportunity to start making strong IoT devices and systems that are resilient to attacks,”he said pointing to the fact that end up the Internet of Things is not an end-user problem because the bulk of the devices are used by governments, enterprises, and in manufacturing.

What can concerned enterprises do to deal with the IoT threat? 

Here are five solutions from F5 Networks.

1.    Have a DDoS strategy that can support attack sizes beyond your network capacity.

2.    Ensure all of your critical services have redundancy, even those you outsource.

3.    Put pressure on IoT manufacturers to secure their products, and don’t buy products that are known to be insecure or compromised.

4.    Share your knowledge—about vulnerable devices, attacks and threat actors, successful mitigation efforts, and potential solutions—with other security professionals.

Since joining F5 in 2001, Holmes has helped design system and core security features of F5’s Traffic Management Operating System (TMOS) with four patents pending. Prior to joining F5, Holmes served as Vice President of Engineering at Dvorak Development. Holmes has over 25 years of experience in security and product engineering and has contributed to security-related open source software projects such as OpenSSL and ssldump. Follow him on Twitter @dholmesf5.

As the recognized leader in Application Delivery Networking, F5 Networks aligns performance, flexibility, and security, to enable apps to move businesses forward, making their people more productive and creates a better experience for their customers. With this, F5 has covered the security gap without compromising speed or performance aligning performance, flexibility and security to enable constantly innovative business strategies. As a result, no company knows applications like F5.

According to Gartner’s Magic Quadrant, F5 is known as a Leader for Application Delivery Controllers for the 10th consecutive year, and for SSL VPN market. F5 was also awarded Leader in Web Application Firewall (WAF) market in Asia Pacific and Japan by Frost IQ. 
Rating: 
No votes yet