PA-501: the new entry-level box, full HA pair upgraded in 30 minutes

The PA-501 is the smallest model in Palo Alto Networks' new PA-500 Series — the entry-level, lowest-cost option in the refreshed branch lineup. I run a pair of them in HA, so here is a real-world look at one thing everyone actually cares about: how long does a PAN-OS upgrade take on it?

Going from PAN-OS 12.1.4-h6 to 12.1.7, one member at a time.

The timeline (elapsed from each reboot command)

Elapsed	Member 1	Member 2
0:00	Reboot command issued	Reboot command issued
Ping	+4 min	+3 min
Login + online in Panorama	+10 min	+10 min
HA initializing	+13 min	+11 min
HA up	+15 min	+13 min

End to end, both members: 30 minutes (first reboot to second member HA up).

What the numbers tell you

Ping back at +3–4 min is just the MGT interface answering ICMP — the management plane is reachable, but not "done." Full mgmt services (web UI / Panorama) are ready at +10 min, and HA finishes the handshake at +13–15 min per member. For the cheapest box in the new series, getting each member through a full version bump and back into HA in about a quarter of an hour is solid.

Config here is lean — 160 security rules, 24 VLANs, 24 zones, a few VPNs and GlobalProtect, well within the PA-501's limits. The autocommit on boot barely registers. The autocommit on boot barely registers, so these times are essentially the platform baseline.

Bottom line

New entry-level PA-501, 12.1.4-h6 → 12.1.7, full HA pair done in 30 minutes. No drama.

When the AI sends you to the wrong download

You ask an AI assistant where to download a tool. You get a clear, helpful answer with the right product name and a link that looks fine. You click it, install — and you have just installed malware.

This is not theory. Active campaigns using this exact technique have already been observed in the wild.

What is happening

The safest way to download software has always been the same: go directly to the vendor's website if you know it. Searching is a fallback. Asking an AI is one step further removed again.

Attackers know this — and they know that more and more people now skip both the vendor site and the search engine, and just ask an AI chatbot "where do I download X?". So they have started feeding the AI ecosystem the same way they used to feed search engines: fake sites, planted content, and manipulated references.

The result: the chatbot gives you a friendly, confident answer — and one of the links in it points to an attacker-controlled site. The download looks like the real tool. It often even works like the real tool. But something extra gets installed in the background.

Why it works

The answer looks correct. The product name is right. The description is right. The tone is helpful and professional. Only the link is wrong — and it is wrong in a way that looks almost identical to the real one.

There is no urgent tone. No suspicious sender. No phishing markers. Just an AI being confidently wrong on a single line.

It is not just downloads — scripts too

The same trick works with code. You ask an AI for a script that does A. You get a script that does A — and quietly also does B.

The extra behaviour does not have to be large. A few lines that send data somewhere. A function with an innocent name that reaches out to a server you do not control. A small block of code wrapped inside something useful.

Security researchers have already demonstrated this. Attackers can plant malicious or misleading content in places the AI may later reference — public repositories, documentation, configuration files, or even hidden text embedded inside otherwise normal content. When someone later asks the AI for help, that planted content can influence what the AI produces, and the resulting code can contain something the user never asked for.

The script still works. It still does what you asked. That is what makes it hard to spot — and that is why pasting AI-generated code straight into production without reading it line by line is a real risk, not a theoretical one.

What to take from this

• Treat AI answers like advice from a stranger, not like a search result from a trusted source. Useful as a starting point, never as the final word.
  
  
• Always go directly to the vendor's website. If you know the address, type it yourself. If you do not, verify the domain through a trusted source first — not just an AI response or the first search result. Do not blindly trust download links provided by AI assistants. Verify the vendor domain yourself before downloading anything.
  
  
• Tell your users this. Most have no idea that AI answers can be manipulated. A short message in your normal channels goes a long way.
  
  
• Make sure your security stack inspects downloads — URL filtering, DNS security, and sandboxing catch many of these before the file ever lands.
  
  
• Read AI-generated code before you run it. Especially anything with network calls, file access, or credentials. If you do not understand a line, do not run it.
  
  
• Review your software installation policy. If users can freely install small utilities from anywhere, this attack works. If they cannot, it does not.
  
  

Bottom line

AI is changing how people find information — and attackers have already adapted. The fix is not new technology. It is the same rule we have always taught: go to the source you trust, do not let someone else hand you the link.

The difference is that the someone else is no longer a search engine. It is an AI that sounds like it knows the answer.

The police email that tries to scare you

From time to time a different type of scam starts circulating again.

This time the email claims to come from the police, Europol, or another law enforcement agency.

The message often accuses the recipient of serious crimes such as child exploitation or illegal online activity.

The goal is simple: to shock the recipient into responding.

The attack pattern

The victim suddenly receives an email that appears to be from a police authority.

The message often includes:
official logos
names of real officials
references to legal articles
a formal looking document attached as PDF

The email claims that investigators have identified illegal activity.

It usually demands a response within 24–72 hours.

The objective

Once the victim responds, the scam moves to the next stage.

The attacker may attempt to:
demand payment to “close the case”
request identity documents
collect personal information
continue the extortion

Why the technique works

Unlike many phishing attacks, this scam relies on fear rather than curiosity.

Being accused of serious crimes can trigger panic and cause people to respond quickly without verifying the message.

What makes this easy to identify

Law enforcement authorities do not send criminal accusations by email.

If the police were actually looking for you, you would not receive a PDF attachment.

Someone would knock on your door.

2025 version:(in Norwegian)
https://www.dt.no/skrekkbeskjed-for-mange-vil-arrestere-deg-umiddelbart/s/5-57-2550760

The email you were never supposed to see

In the previous posts I described attacks where victims first receive a large flood of emails, followed by a message from someone pretending to be IT support.

However, email flooding is also used in another way.

Sometimes the goal is not to contact the victim afterwards at all.

Instead, the attacker uses the flood of emails to hide a single message you are not supposed to notice.

The attack pattern

The attack again starts with a sudden wave of emails you never signed up for.

In the previous attack variants, this flood may consist of dozens or a few hundred messages — often enough to create confusion and stress.

But in this version of the attack the numbers are often much larger.

Victims may receive thousands of emails within a short period of time, sometimes several thousand within just a few hours.

This is typically caused by subscription bombing, where an attacker registers your email address on a large number of websites and mailing lists.

At first glance it may just look like spam.

But the real purpose is often different.

Somewhere inside those thousands of messages there may be one important email.

And that email is the one the attacker hopes you will miss.

The message you were not supposed to see

Hidden among the noise could be a notification such as:

• a password change confirmation
• a username or email change on an account
• a login alert from a service
• an order confirmation for a purchase you did not make
• a security alert from a service provider

If the victim does not see the message in time, the attacker gains a valuable window of opportunity.

For example, the attacker may:

• take control of an online account
• complete fraudulent purchases
• change recovery settings on a service
• gain persistent access to the account

Why the technique works

Humans are not good at processing thousands of messages at once.

When an inbox suddenly fills with hundreds or thousands of emails, most people focus on stopping the flood rather than carefully reviewing every message.

This is exactly what the attacker hopes will happen.

In reality, the only safe approach is often the most frustrating one: taking the time to carefully review the inbox and search for suspicious notifications.

If you suddenly receive thousands of emails within a short period of time, there is a real possibility that one of them contains a message you were not supposed to see.

Probably the most annoying version of the attack

Across the previous posts I described several variations of the same technique:

1. Spam flood + fake IT support contact (Teams or social media)
2. Spam flood + social engineering targeting personal accounts
3. Spam flood used to hide an important security notification

All of them start the same way: the attacker creates confusion and noise.

But for the victim, this third variant may actually be the most frustrating one.

Because the only reliable way to respond is often to spend time going through thousands of messages, searching for the one message that matters.

Exactly the message the attacker hoped you would never notice.


And if the attacker succeeded, that message is likely there.

Somewhere in the inbox is the notification that reveals what actually happened — a password change, a login alert, an order confirmation, or perhaps that your airline miles have been used or that someone just ordered ten new phones in your name.

Finding that email is often the first step to fixing the problem.

When attackers contact you on social media

In the previous post, I described a technique where attackers combine subscription bombing and fake IT support on Microsoft Teams to gain access to a victim’s system.

However, this is not the only variation of the technique.

In some cases the attack is directed at private individuals rather than employees in an organization, and the attacker uses social media instead of corporate collaboration platforms.

The attack pattern

The beginning of the attack often looks very similar.

The victim suddenly receives a large number of emails they never signed up for.
This is typically the result of subscription bombing, where the victim’s email address is registered with hundreds of websites and mailing lists.

The goal is to create confusion and stress.

Unlike the corporate scenario, the attacker may already know that the email address is connected to personal accounts, such as:

• Facebook
• Instagram
• LinkedIn
• other social media platforms

Shortly after the spam flood begins, the attacker contacts the victim through social media messaging instead of tools like Teams.

The attacker might claim to be:

• platform support
• account security staff
• technical support
• someone who noticed suspicious activity on the account

They then offer to help fix the problem.

The objective

Just like the Teams-based variant, the attacker will often try to convince the victim to:

• install remote access software
• share login credentials
• approve suspicious login attempts
• disable security protections such as two-factor authentication

Once the attacker gains access, they may attempt to:

• take over social media accounts
• access private messages and data
• run scams from the victim’s account
• attempt password resets on other services linked to the same email address

The same scam — different channel

In many ways, this is simply another evolution of the classic fake tech support scam.

The difference is that modern attackers often create a real problem first — such as a spam flood — before contacting the victim and offering help.

The communication channel may change:

• phone calls in the past
• Microsoft Teams in corporate environments
• social media messaging for private individuals

But the core technique remains the same:

Create confusion → Offer help → Gain access

When attackers call on Teams

Suddenly your inbox starts filling up with hundreds of newsletters you never signed up for. 
Minutes later, a Teams message appears from “IT Support” offering to help.

This is not a coincidence!

A social engineering technique observed in several incidents combines two simple elements: large volumes of spam and fake IT support.

The attack typically begins when the victim receives a sudden flood of spam emails.
This is often the result of so-called subscription bombing, where the victim’s email address is registered with hundreds of online services and newsletters.
The result is an inbox that quickly fills with confirmation emails, newsletters, and other automated messages.

Shortly after the spam flood begins, the attacker contacts the victim through a collaboration platform such as Microsoft Teams, pretending to be from the organization’s IT department.
The attacker claims they have noticed the unusual email activity and want to help resolve the issue.

To “fix the problem,” the attacker asks the user to start a support session using a remote administration tool. The tool used is often Quick Assist, which is built into Windows, but tools such as AnyDesk, TeamViewer, or similar may also be used. Because the user is already experiencing a real problem — a spam flood in their inbox — the request may appear legitimate.

Once the attacker gains access to the system, several actions may follow depending on the objective of the attack.

Examples include:

• deployment of ransomware
• theft of files or sensitive information
• credential harvesting
• lateral movement within the network
• establishing persistent access to the system

The technique works because it exploits human behavior rather than technical vulnerabilities.
By first creating confusion and stress through the spam flood, the likelihood increases that the user will accept help from someone claiming to be IT support.

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How to Reduce the Risk

In many environments, messages from external users in Microsoft Teams can be clearly labeled with indicators such as External, Guest, Unverified, or similar warnings.

These indicators help users recognize that the message does not come from an internal colleague or the organization’s IT department.
If someone claiming to be internal IT support contacts a user via Teams, these indicators should always be checked.

Organizations should ensure that such labels and warnings are properly configured in Teams so that users can more easily distinguish between internal and external communications.

If this has not already been reviewed or implemented in the environment, it may be advisable to assess the current configuration and procedures.

In many ways, this is a modern version of the classic “fake Microsoft support” phone scam.
The difference is that attackers now create a real problem first — such as a spam flood — before offering to “help” fix it.