June 18, 2018, 11:44 am
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1 Philippine Peso = 0.01616 Euro
1 Philippine Peso = 0.03862 Fiji Dollar
1 Philippine Peso = 0.01411 Falkland Islands Pound
1 Philippine Peso = 0.01411 British Pound
1 Philippine Peso = 0.08774 Ghanaian Cedi
1 Philippine Peso = 0.8783 Gambian Dalasi
1 Philippine Peso = 168.7418 Guinea Franc
1 Philippine Peso = 0.13756 Guatemala Quetzal
1 Philippine Peso = 3.86799 Guyana Dollar
1 Philippine Peso = 0.14715 Hong Kong Dollar
1 Philippine Peso = 0.44823 Honduras Lempira
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1 Philippine Peso = 261.11007 Indonesian Rupiah
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1 Philippine Peso = 1.27862 Indian Rupee
1 Philippine Peso = 22.20139 Iraqi Dinar
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1 Philippine Peso = 2.42115 Jamaican Dollar
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1 Philippine Peso = 2.07454 Japanese Yen
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1 Philippine Peso = 20.66229 Korean Won
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1 Philippine Peso = 1 Philippine Peso
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1 Philippine Peso = 105.94412 Paraguayan Guarani
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1 Philippine Peso = 0.1483 Solomon Islands Dollar
1 Philippine Peso = 0.25162 Seychelles Rupee
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1 Philippine Peso = 0.02532 Singapore Dollar
1 Philippine Peso = 0.01412 St Helena Pound
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1 Philippine Peso = 148.88431 Sierra Leone Leone
1 Philippine Peso = 10.53816 Somali Shilling
1 Philippine Peso = 395.79974 Sao Tome Dobra
1 Philippine Peso = 0.16407 El Salvador Colon
1 Philippine Peso = 9.65648 Syrian Pound
1 Philippine Peso = 0.25162 Swaziland Lilageni
1 Philippine Peso = 0.61204 Thai Baht
1 Philippine Peso = 0.04892 Tunisian Dinar
1 Philippine Peso = 0.04288 Tongan paʻanga
1 Philippine Peso = 0.08861 Turkish Lira
1 Philippine Peso = 0.12572 Trinidad Tobago Dollar
1 Philippine Peso = 0.56497 Taiwan Dollar
1 Philippine Peso = 42.52766 Tanzanian Shilling
1 Philippine Peso = 0.49372 Ukraine Hryvnia
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1 Philippine Peso = 0.01875 United States Dollar
1 Philippine Peso = 0.59066 Uruguayan New Peso
1 Philippine Peso = 148.13426 Uzbekistan Sum
1 Philippine Peso = 1496.34352 Venezuelan Bolivar
1 Philippine Peso = 427.78924 Vietnam Dong
1 Philippine Peso = 2.02025 Vanuatu Vatu
1 Philippine Peso = 0.04811 Samoa Tala
1 Philippine Peso = 10.58541 CFA Franc (BEAC)
1 Philippine Peso = 0.05063 East Caribbean Dollar
1 Philippine Peso = 10.58541 CFA Franc (BCEAO)
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Hidden in plain sight: How IoT will make us more vulnerable

CYBERCRIMINALS are as relentless as guerilla fighters of old. Armed with the same technology as the big guns, and throttled only by paper laws and policies, and the prospect of prison time, they prey on happless victims and operate right infront of them. The new breed of cybercriminals have gamified the cybercrime platform and changed the ways of attack. 

“People are really good at gaming any kind of system. If you set up any kind of rules people figure out any way to cheat,” David Holmes, F5 Networks Global Security Evangelist said as he offered this theory on why malware attacks are more pervasive than solutions. 

“They will figure out the boundaries, its almost uncanny, they (attackers) can figure out almost any rule system,” he explains as I ask if this is the new normal for cybersecurity.

“Absolutely,” he said as we started to look at how the attack surfaces has changed with weeks of discovering malware, attack vector or pattern. 

As an example we review how the attacks have developed from simple malware, to IoT attacks to thingbots. And now these pervasive thingbots operate in plain sight, in the many devices that we have literally on hand and around us. This threat surface includes artificial intelligence and machine learning.

And what operates in plain sight are those little devices we don’t see but are watching, hearing, sensing and counting us—the Internet of Things (IoT). According to research firm Gartner, in about two years there will be some 20.4 billion IoT devices globally. The Japanese finance company, SoftBank, in studying its growth portfolio came up with an estimate of 1 trillion devices by 2035.

Holmes sat down with me to talk about the cybersecurity firm’s latest study “The Hunt for IoT Devices That Threaten Our Modern Way Of Life.” The research, penned by his colleagues at F5 Labs, Sara Boddy and Justin Shattuck, zeroed in on the activities already affected by attacks via IoT devices.

Many of these devices are common, be it part of government projects like smart cities, flood control projects or public Wi-Fi spots or smart houses and condominiums to control lights, airconditioners, lock or unlock doors among other things.

The problem with IoT devices is that they continue to be designed as appliances, brainless, security-less appliances. Connect one to a power and source and it will do what it needs to do. Like a flat iron. Plug and press. Or play. The very design of an IoT device is an input source for a data. There was no consciousness on how much security should be ingrained in them to thwart attacks by notifying the network could be compromised. And easy prey for thingbots.

A thingbot is a loose term to describe a malware embedded into a system using an Internet connection. This set up enables a hacker to be able to access whatever that device is for. Camera images for example are sold on the Dark Net for voyeurism fans. Or to criminals to see the layout of a building. A thingbot becomes part of a compromised system and in this particular discussion the thingbots thrive on IoT.

The list is long but here are some examples.  

Simple system attacks called “Aidra” (and its portable equivalent “LightAidra”)sneaked into home routers, smart TVs, set-top digi boxes, DVRs, VoIP devices like baby monitors, and IP cameras. More vicious attacks involve messing with the telemetrics of semi-autonomous cars, the most popular of recent vintage was the attack on the Jeep that caused a recall of 1.4-million vehicles. Still more vicious use toys, like Mattel’s Internet-connected “Hello Barbie” personal assistant.

In the Hello Barbie case security researchers saw the vulnerability in the toy’s accompanying app, discovering several loopholes that allowed hackers to eavesdrop on communications between it and the cloud servers it connects to. The possibility here was kids who had Hello Barbie could become prey to some pedophiliac vulture.

In Germany, smartwatches designed for people wanting to watch over their kids has been hacked by a similar malware, allowing hackers to peek into children’s location, see their text messages or even photos.

“There are many pretty scary scenarios,” Holmes explained as flicking to an interesting slide in the study. “Smart ovens can be cause a fire if not secure. Credit card and banking devices are pretty easy to compromise too.” he said.

“Dyreza” and “Trickbot” search for wireless routers. Once a vulnerable one is found it embeds itself and accesses the computer it is connected to. So whether a mobile device or desktop it will embed a Trojan to find important bank information and attack, unseen, moving funds from bank accounts to its operators pockets.

“And the attack patterns have changed completely,” Holmes stressed pointing out how attackers have moved from the traditional, reconnaissance scans, to brute force attacks (to build a system, install malware or inject an autobuild thingbot) and then settling down to “pwnd” (the hacker, IT-ish term means ‘vulnerable’ or ‘waiting to be attacked’) systems, to simply scattering attacks to open unsuspecting pwnd systems.

Why the shift?

Directly fertilizing the ecosystem with malware simply opens up more opportunities. There is no need to spend time on looking for a victim and employing a brute force attack. Based on the data presented by Holmes there are enough vulnerable systems waiting to be compromised.

And the plethora of options depending on the devices infected are many. Since it is game-ified everything from run-of-the-mill DDoS, to illegal cryptocurrency mining, data theft, down to political hacking and cyberwarfare can result. In one case in 2015, cyberattackers cut electricity to nearly a quarter-million Ukrainians two days before Christmas, skillfully manning power grid equipment run by control boxes monitored via the Internet.

And by the sheer number of devices already in place, making them secure and monitoring each will require a huge resource allocation, if not a huge dent in global bandwidth. 

I ask Holmes if there is a solution.

“Yes there is,” he says confidently. “We play their game.” 

For businesses and governments, F5 Labs recommends 1) having a DDoS strategy in place, 2) ensure critical services have redundancy, 3) securely and correctly manage credentials—meaning no default or open passwords, 4) deploy multi-factor authentication (MFA) & credential stuffing controls, 5) train employees on IoT threats, 6) Purchase smartly by conduct basic security tests before purchasing IoT device or implementing services such as CCTV installation,  7) ensure that remote devices connecting through network must pass through IDS/IPS, 8) the-evaluation Virtual Private Network (VPN) use—if a VPN is always on tunnels need isolation, 9) conduct regular security audits. 

“And regular means always!” Holmes concludes.
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