Safe online while travelling

11 ways to stay SAFE online when you’re traveling

If you bring your phone, tablet or laptop with you when you travel, there’s one thing to keep in mind: public WiFi networks are public.

“That open Wi-Fi connection opens the door for hackers,” writes NPR’s Steve Henn. “They can get in the middle of transactions between, say, you and your bank.”

Because you’re sharing the network with strangers, there’s the risk that someone is using readily available software that snoops on what you’re doing.

“It may feel private because you’re using your personal device, but it’s not,” our Security Advisor Sean Sullivan told us last year.

Sean advises against doing anything via public WiFi that you wouldn’t want an eavesdropper to know – including logging into accounts with passwords.

Before you hit the road make sure all your devices are backed up, your applications and operating system are patched and you’re running an updated security solution on any device you can.

You can try F-Secure SAFE on up to 3 devices for free for the next month.

Here are some more tips that will keep you secure wherever you may roam:

• Don’t let your device connect to public WiFi spots automatically.
• Delete out the WiFi access points you’ve used when you arrive home.
• Log out of all your apps you don’t need while traveling.
• Lock any device you’re your using with a code that can’t be guessed.
• Be aware of your surroundings and anyone who could be trying to peek over your shoulder.
• Use a unique, strong password for each account.
• For laptops, disable file sharing and turn on the firewall, setting it to block incoming connections.
• Use a VPN (virtual private network) like Freedome if possible, which secures your connection even on public WiFi.
• Use a travel router with a prepaid SIM card for your own personal WiFi network.
• At the very least, watch for the padlock and “https” in the address bar for any site with your personal information. If they’re not there, avoid the site.
• A good general rule: Assume anything you do over public WiFi is part of a public conversation.



[Image by Mario Mancuso via Flickr]

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Hacks in the Headlines: Two Huge Breaches That Could Have Been Detected

The Sony hack of late 2014 sent shock waves through Hollywood that rippled out into the rest of the world for months. The ironic hack of the dubious surveillance software company Hacking Team last summer showed no one is immune to a data breach - not even a company that specializes in breaking into systems. After a big hack, some of the first questions asked are how the attacker got in, and whether it could have been prevented. But today we're asking a different question: whether, once the attacker was already in the network, the breach could have been detected. And stopped. Here's why: Advanced attacks like the ones that hit Sony and Hacking Team are carried out by highly skilled attackers who specifically target a certain organization. Preventive measures block the great majority of threats out there, but advanced attackers know how to get around a company's defenses. The better preventive security a company has in place, the harder it will be to get in…but the most highly skilled, highly motivated attackers will still find a way in somehow. That's where detection comes in. Thinking like an attacker If an attacker does get through a company's defensive walls, it's critical to be able detect their presence as early as possible, to limit the damage they can do. There has been no official confirmation of when Sony's actual breach first took place, but some reports say the company had been breached for a year before the attackers froze up Sony's systems and began leaking volumes of juicy info about the studio's inner workings. That's a long time for someone to be roaming around in a network, harvesting data. So how does one detect an attacker inside a network? By thinking like an attacker. And thinking like an attacker requires having a thorough knowledge of how attackers work, to be able to spot their telltale traces and distinguish them from legitimate users. Advanced or APT (Advanced Persistent Threat) attacks differ depending on the situation and the goals of the attacker, but in general their attacks tend to follow a pattern. Once they've chosen a target company and performed reconnaissance to find out more about the company and how to best compromise it, their attacks generally cover the following phases: 1. Gain a foothold. The first step is to infect a machine within the organization. This is typically done by exploiting software vulnerabilities on servers or endpoints, or by using social engineering tactics such as phishing, spear-phishing, watering holes, or man-in-the-middle attacks. 2. Achieve persistence. The initial step must also perform some action that lets the attacker access the system later at will. This means a persistent component that creates a backdoor the attacker can re-enter through later. 3. Perform network reconnaissance. Gather information about the initial compromised system and the whole network to figure out where and how to advance in the network. 4. Lateral movement. Gain access to further systems as needed, depending on what the goal of the attack is. Steps 2-4 are then repeated as needed to gain access to the target data or system. 5. Collect target data. Identify and collect files, credentials, emails, and other forms of intercepted communications. 6. Exfiltrate target data. Copy data to the attackers via network. Steps 5 and 6 can also happen in small increments over time. In some cases these steps are augmented with sabotaging data or systems. 7. Cover tracks. Evidence of what was done and how it was done is easily erased by deleting and modifying logs and file access times. This can happen throughout the attack, not just at the end. For each phase, there are various tactics, techniques and procedures attackers use to accomplish the task as covertly as possible. Combined with an awareness and visibility of what is happening throughout the network, knowledge of these tools and techniques is what will enable companies to detect attackers in their networks and stop them in their tracks. Following the signs Sony may have been breached for a year, but signs of the attack were there all along. Perhaps these signs just weren't being watched for - or perhaps they were missed. The attackers tried to cover their tracks (step 7) with two specific tools that forged logs and file access and creation times - tools that could have been detected as being suspicious. These tools were used throughout the attack, not just at the end, so detection would have happened well before all the damage was done, saving Sony and its executives much embarrassment, difficult PR, lost productivity, and untold millions of dollars. In the case of Hacking Team, the hacker known as Phineas Fisher used a network scanner called nmap, a common network scanning tool, to gather information about the organization’s internal network and figure out how to advance the attack (step 3). Nmap activity on a company internal network should be flagged as a suspicious activity. For moving inside the network, step 4, he used methods based on the built-in Windows management framework, PowerShell, and the well-known tool psexec from SysInternals. These techniques could also potentially have been picked up on from the way they were used that would differ from a legitimate user. These are just a few examples of how a knowledge of how attackers work can be used to detect and stop them. In practice, F-Secure does this with a new service we've just launched called Rapid Detection Service. The service uses a combination of human and machine intelligence to monitor what's going on inside a company network and detect suspicious behavior. Our promise is that once we've detected a breach, we'll alert the company within 30 minutes. They'll find out about it first from us, not from the headlines. One F-Secure analyst sums it up nicely: "The goal is to make it impossible for an attacker to wiggle his way from an initial breach to his eventual goal." After all, breaches do happen. The next step, then, is to be prepared.   Photo licensed under CC BY 2.0:  Breach photo by Jim Champion

May 31, 2016
twitter, changes

POLL: What Changes To Twitter Would You Like To See?

Little changes can make a difference. For instance, Twitter's decision to switch a star for a heart as its "Favorite" button increased use of the button by as much as 27.82 percent. And it's clear that despite Wall St. demanding that site grow faster and be easier for new users to grasp to have some hope of keeping up with competitors like Facebook and Snapchat, the site is still sweating the small stuff. Here are the four changes to the service announced this week: Replies: When replying to a Tweet, @names will no longer count toward the 140-character count. This will make having conversations on Twitter easier and more straightforward, no more penny-pinching your words to ensure they reach the whole group. Media attachments: When you add attachments like photos, GIFs, videos, polls, or Quote Tweets, that media will no longer count as characters within your Tweet. More room for words! Retweet and Quote Tweet yourself: We’ll be enabling the Retweet button on your own Tweets, so you can easily Retweet or Quote Tweet yourself when you want to share a new reflection or feel like a really good one went unnoticed. Goodbye, .@: These changes will help simplify the rules around Tweets that start with a username. New Tweets that begin with a username will reach all your followers. (That means you’ll no longer have to use the ”.@” convention, which people currently use to broadcast Tweets broadly.) If you want a reply to be seen by all your followers, you will be able to Retweet it to signal that you intend for it to be viewed more broadly. These tweaks are in line with Twitter's tradition of paying attention to how people use the site and make it easier for them to do what early adopters are already doing. That's how we got hashtags, retweet buttons and @ replies. Now you'll be able to tweet a bit longer messages, something people do now with screenshots of text, and have more public conversations, something people do now by putting a "." before someone's @username so their whole feed sees the conversation not just people who happen to follow you and the user you're conversing with. Cool. These are useful little nudges that will keep people who already love the site engaged -- even though they may have some ugly unforeseen consequences. But will they transform Twitter and spark a new wave of growth? Not likely. What would without alienating the hundreds of millions of loyal users? Tough question and we'd like to know what you think. [polldaddy poll=9429603] Cheers, Jason [Image by dominiccampbell | Flickr]

May 26, 2016
brain floppy, scanning engines, malware scanning

5 Ways We Stop Cyber Attacks In Their Tracks

See that floppy disc? That's how F-Secure Labs used to get malware to analyze. Nowadays, of course, it's much different, Andy Patel from the Labs explained in a recent post, "What's The Deal with Scanning Engines?" In just a few hundred words, Andy lays out what makes modern protection so different from the anti-virus that you remember from the 80s, 90s or even the early 00s. And it's not just that floppy disks the Labs once analyzed have been replaced by almost any sort of digital input, down to a piece of memory or a network stream. The whole post is worth checking out if you're interested in how relentless modern internet security must be to keep up with the panoply of online threats we face. But here's a quick look at five of the key components of endpoint protection that work in tandem to stop attacks in their tracks, as described by Andy: Scanning engines. Today’s detections are really just complex computer programs, designed to perform intricate sample analysis directly on the client. Modern detections are designed to catch thousands, or even hundreds of thousands of samples. URL blocking. Preventing a user from being exposed to a site hosting an exploit kit or other malicious content negates the need for any further protection measures. We do this largely via URL and IP reputation cloud queries. Spam blocking and email filtering also happen here. Exploit detection. If a user does manage to visit a site hosting an exploit kit, and that user is running vulnerable software, any attempt to exploit that vulnerable software will be blocked by our behavioral monitoring engine. Network and on-access scanning. If a user receives a malicious file via email or download, it will be scanned on the network or when it is written to disk. If the file is found to be malicious, it will be removed from the user’s system. Behavioral blocking. Assuming no file-based detection existed for the object, the user may then go on to open or execute the document, script, or program. At this point, malicious behavior will be blocked by our behavioral engine and again, the file will be removed. The fact is, a majority of malware delivery mechanisms are easily blocked behaviorally. In most cases, when we find new threats, we also discover that we had, in the distant past, already added logic addressing the mechanisms it uses.If you're interested in knowing more about behavioral engines, check out this post in which Andy makes then easy to understand by comparing the technology to securing an office building. So you must be wondering, does this all work? Is it enough? Well, our experts and our computers are always learning. But in all the tests this year run by independent analysts AV-Comparatives, we’ve blocked 100% of the real-world threats thrown at us. Cheers, Jason  

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