A technical security news article reporting on a Wi-Fi encryption vulnerability affecting residential and enterprise users. The editorial content engages with digital security and privacy protections under UDHR Articles 3, 12, and 19, raising public awareness of threats to network security and encrypted communications. However, the site's extensive third-party tracking infrastructure (Snowplow, GTM, Permutive, GAM, Xandr) creates structural tension: the article promotes encryption and privacy awareness while the site simultaneously collects granular behavioral data about readers, demonstrating disconnect between editorial message and platform practice.
Does anyone know of any good firewalls for macOS? The built in firewall is practically unusable, and if client isolation can be bypassed, the local firewall is more important than ever.
I often have a dev server running bound to 0.0.0.0 as it makes debugging easy at home on the LAN, but then if I connect to a public WiFi I want to know that I am secure and the ports are closed. "Block all incoming connections" on macOS has failed me before when I've tested it.
As far as I can tell, all of these attacks require the attacker to already be associated to a victim's network. Most of these attacks seem similar to ones expected on shared wifi (airports, cafes) that have been known about for a while. The novel attacks seem to exploit weaknesses in particular router implementations that didn't actually segregate traffic between guest and normal networks.
I'm curious if I missed something because that doesn't sound like it allows the worst kind of attacks, e.g. drive-by with no ability to associate to APs without cracking keys.
To prevent malicious Wi-Fi clients from attacking other clients on the same network, vendors have introduced client isolation, a combination of mechanisms that block direct communication between clients. However, client isolation is not a standardized feature, making its security guarantees unclear. In this paper, we undertake a structured security analysis of Wi-Fi client isolation and uncover new classes of attacks that bypass this protection. We identify several root causes behind these weaknesses. First, Wi-Fi keys that protect broadcast frames are improperly managed and can be abused to bypass client isolation. Second, isolation is often only enforced at the MAC or IP layer, but not both. Third, weak synchronization of a client’s identity across the network stack allows one to bypass Wi-Fi client isolation at the network layer instead, enabling the interception of uplink and downlink traffic of other clients as well as internal backend devices. Every tested router and network was vulnerable to at least one attack. More broadly, the lack of standardization leads to inconsistent, ad hoc, and often incomplete implementations of isolation across vendors. Building on these insights, we design and evaluate end-toend attacks that enable full machine-in-the-middle capabilities in modern Wi-Fi networks. Although client isolation effectively mitigates legacy attacks like ARP spoofing, which has long been considered the only universal method for achieving machinein-the-middle positioning in local area networks, our attack introduces a general and practical alternative that restores this capability, even in the presence of client isolation.
>Unlike previous Wi-Fi attacks, AirSnitch exploits core features in Layers 1 and 2 and the failure to bind and synchronize a client across these and higher layers, other nodes, and other network names such as SSIDs (Service Set Identifiers). This cross-layer identity desynchronization is the key driver of AirSnitch attacks.
>The most powerful such attack is a full, bidirectional machine-in-the-middle (MitM) attack, meaning the attacker can view and modify data before it makes its way to the intended recipient. The attacker can be on the same SSID, a separate one, or even a separate network segment tied to the same AP. It works against small Wi-Fi networks in both homes and offices and large networks in enterprises.
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I wardrove back in the early 2000s (¡WEP lol!). Spent a few years working in data centers. Now, reasonably paranoid. My personal network does not implement WiFi; my phone is an outgoing landline; tape across laptop cameras, disconnected antenna; stopped using email many years ago...
Technology is so fascinating, but who can secure themselves from all the vulnerabilities that radio EMF presents? Just give me copper/fiber networks, plz.
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>the next step is to put [AirSnitch] into historical context and assess how big a threat it poses in the real world. In some respects, it resembles the 2007 PTW attack ... that completely and immediately broke WEP, leaving Wi-Fi users everywhere with no means to protect themselves against nearby adversaries. For now, client isolation is similarly defeated—almost completely and overnight—with no immediate remedy available.
This only works for one SSID. Even then, one thing that can mitigate this is using Private-PSK/Dynamic-PSK on WPA2, or using EAP/Radius VLAN property.
On WPA3/SAE this is more complicated: the standard supports password identifiers but no device I know of supports selecting an alternate password aside from wpa_supplicant on linux.
Even if they can rewrite the MAC and force a new one via ping, which are usually already disabled, they still can’t eavesdrop on the TLS key exchange. I fail to see how this is a risk to HTTPS traffic? It’s a mitm sure but it is watching encrypted traffic.
every tested router was vulnerable to at least one variant. that's what happens when a security feature gets adopted industry-wide without ever being standardized, not a bug.
"If the network is properly secured—meaning it’s protected by a strong password that’s known only to authorized users—AirSnitch may not be of much value to an attacker."
This is a big deal: it means a client on one wifi network can MITM anything on any other wifi network hosted on the same AP, even if the other wifi network has different credentials. Pretty much every enterprise wifi deployment I've ever seen relies on that isolation for security.
These attacks are not new: the shocking thing here that apparently a lot of enterprise hardware doesn't do anything to mitigate these trivial attacks!
I just read the paper, and my take is that practically every home wifi user can now get pwned since most WiFi routers use the same SSID and 2.4 and 5Ghz. It can even beat people using Radius authentication, but they did not deep dive on that one. I am curious about whether the type of EAP matters for reading the traffic.
Essentially everyone with the SSID on multiple access point MAC addresses can get pwned.
Neighhood hackers drove me to EAP TLS a few years ago, and I only have it on one frequency, so the attack will not work.
The mitigation is having only a single MAC for the AP that you can connect to. The attack relies on bouncing between two. A guest and regular, or a 2.4 and 5, etc.
I need to research more to know if they can read all the packets if they pull it off on EAP TLS, with bounces between a 2.4 and 5 ghz.
It is a catastrophic situation unless you are using 20 year old state of the art rather that multi spectrum new hotness.
It might even get folks on a single SSID MAC if they do not notice the denial of service taking place. I need to research the radius implications more. TLS never sends credentials over the channel like the others. It needs investigation to know if they get the full decryption key from EAP TLS during. They were not using TLS because their tests covered Radius and the clients sending credentials.
It looks disastrous if the certificates of EAP TLS do not carry the day and they can devise the key.
It seems like this attack would be thwarted by so called “multi PSK” networks (non-standard but common tech that allows giving each client their own PSK on the same SSID). Is that true?
Incidentally, this client isolation thing can be extremely annoying in practice in networks you do not control. Hardware device makers just assume that everything is on One Big Wi-Fi Network and all devices can talk to all other devices and sing Kum-Ba-Yah by the fire.
Then comes network isolation and you can no longer turn on your Elgato Wi-Fi controlled light, talk to your Bose speaker, or use a Chromecast.
Client isolation is helpful in the real world, but it's yet another band aid for the deeper more fundamental problem.
If a device is insecure when placed directly onto the Internet with no firewall, it is insecure. Full stop. Everything else is a hack around that fact. Sometimes you have to do that since you can't fix broken stuff, but it's still broken.
That's my read as well. It's bad for places that rely on client isolation, but not really for the general case. I feel like this also overstates the "stealing authentication cookies": most people's cookies will be protected by TLS rather than physical layer protection.
The attacker doesn't need to be connected to the victim's network, only to the same hardware, the hardware's loss of isolation is the unexpected problem.
Their University example is pertinent. The victim is an Eduroam user, and the attacker never has any Eduroam credentials, but the same WiFi hardware is serving both eduroam and the local guest provision which will be pretty bare bones, so the attacker uses the means described to start getting packets meant for that Eduroam user.
If you only have a single appropriately authenticated WiFi network then the loss of isolation doesn't matter, in the same way that a Sandbox escape in your web browser doesn't matter if you only visit a single trusted web site...
The Ars article mentions: “Even when HTTPS is in place, an attacker can still intercept domain look-up traffic and use DNS cache poisoning to corrupt tables stored by the target’s operating system.” Not sure, but I think this could then be further used for phishing.
IIUC the issue is, you could have a "secure" network and a guest network sharing an AP, and that guest network can access clients on the secure network. Someone did mention the xfinity automatic guest network, which might be a pain to disable?
This is likely not a big deal for your home network, if you only have one network, but for many enterprise setups probably much worse.
> Essentially everyone with the SSID on multiple access point MAC addresses can get pwned
You still have to be able to authenticate to some network: the spoofing only allows users who can access one network to MITM others, it doesn't allow somebody with no access to do anything.
In practice a lot of businesses have a guest network with a public password, so they're vulnerable. But very few home users do that.
EAP TLS provides strong authentication, is much better than the other enterprise authentication options, but will not block these lateral attacks from other authenticated devices. The second half of the deployment is putting each identity into a VLAN to defend against the L2/L3 disconnects that can occur.
I work on https://supernetworks.org/. We propose a solution to these flaws with per-device VLANs and encourage per-device passwords as well.
More practically the risk for these attacks is as follows. A simple password makes sense for easy setup on a guest network, that's treated as untrusted. These passwords can probably be cracked from sniffing a WPA2 key exchange -- who cares says the threat model, the network is untrusted. But this attack lets the insecure network pivot out into the secure one.
Adding exceptions for certain protocols, IP ranges (maybe multicast, even) are certainly ways around this, but I imagine with every hole you poke to allow something, you are also opening a hole for data to leak.
Even when not using client isolation, I've run into similar problems simply from having a computer connected over Ethernet instead of WiFi, and whatever broadcast method a gadget uses for discovery didn't get bridged between wired and wireless. (Side note: broadcast traffic on WiFi can be disproportionately problematic because it needs to be transmitted at a lowest common denominator speed to ensure all clients can receive it. IIRC, that usually means 6Mbps.)
Access points frequently have multiple BSSIDs even if just for broadcasting on 2.4 and 5 at the same time. Any multiple AP scenario will have them regardless. Couple that with weak duplicate MAC checking and shared GTK (WPA2-PSK) and the attack becomes trivial. I imagine old hardware will be broken forever. Especially pre 802.11w.
This attack exploits multi PSK networks precisely. If it's all one PSK the attacker can already throw up a rogue AP for WPA3 or just sniff/inject WPA2 outright. The back half of a secure multi PSK setup is deploying VLANs for segmentation, to block these attacks.
WiFi provides half-way measures with client isolation features that break down when the packets hit L3, or in some cases the broadcast key implementations are deficient allowing L2 attacks. The paper is about all of the fun ways they could pivot across networks, and they figured out how to enable full bidirectional MITM in a wider class of attacks than commonly known or previously published.
Hostapd now has support for multi pass SAE /WPA3 password as well. We have an implementation of dynamic VLAN+per device PSK with WPA3 (https://github.com/spr-networks/super) we've been using for a few years now.
Ironically one of the main pain points is Apple. keychain sync means all the apple devices on the same sync account should share a password for wireless. Secondly the MAC randomization timeouts require reassignment.
The trouble with SAE per device passwords is that the commit makes it difficult to evaluate more than one password per pairing without knowing the identity of a device (the MAC) a-priori, which is why it's harder to find this deployed in production. It's possible for an AP to cycle through a few attempts but not many, whereas in WPA2 an AP could rotate through all the passwords without a commit. The standard needs to adapt.
I mean, yeah, isn't that the main purpose of client isolation? It sucks when you're on something like a locked down university dormitory network but it also stops (or at least, inhibits) other people from randomly turning on your lightbulb or worse, deploying exploits on your poorly engineered IoT device and lighting you up with malware.
It is hard to disagree with this approach. While I still use WiFi, it is a separate subnet and only whitelisted MACs are allowed to use it. Cameras and microphones are always unplugged when not in use, and my phone runs GrapheneOS. I also removed the hands-free microphone in my car, as well as the cellular modem.
I'm a co-author on the paper: I would personally indeed not use the phrase "we can break Wi-Fi encryption", because that might be misinterpreated that we can break any Wi-Fi network.
What we can do is that, when an adversary is connected to a co-located open network, or is a malicious insider, they can attack other clients. More technically, that we can bypass client isolation. We encountered one interesting case where the open Wi-Fi network of a university enabled us to intercept all traffic of co-located networks, including the private Enterprise SSID.
In this sense, the work doesn't break encryption. We bypass encryption.
If you don't rely on client/network isolation, you are safe. More importantly, if you have a router broadcasting a single SSID that only you use, we can't break it.
I'm a co-author on the paper: I would personally not use the word break but instead bypass, to indeed clarify we can't just 'break' any network. We specifically target client isolation, which is nowadays often used, and that proved possible to bypass. If you don't rely on client/network isolation, you are safe.
Editorial Channel
What the content says
+0.40
Article 12Privacy
Medium Coverage Framing Practice
Editorial
+0.40
SETL
+0.53
Directly engaged: The article reports on encryption vulnerabilities and Wi-Fi security, both central to protection from interference with privacy and protection of communications.
Observable Facts
The article title and content focus on Wi-Fi encryption vulnerabilities, which directly protect against privacy interference.
The page includes Snowplow tracking, Google Tag Manager, Permutive cohorts system, Google Ad Manager, and Xandr advertising networks.
A Fides privacy consent interface is present, indicating awareness of privacy obligations.
Data elements tracked include user identity (via multiple ID systems), behavioral actions, content engagement, and device/browser information.
Inferences
The article's focus on encryption security directly supports Article 12's protection of privacy against interference with communications.
The tracking infrastructure indicates the site collects granular user behavioral data for analytics and ad targeting purposes.
The presence of multiple tracking networks suggests privacy is subordinated to commercial data collection goals, creating structural tension between the article's privacy-protective message and the site's privacy-invasive practices.
+0.30
Article 19Freedom of Expression
Medium Coverage Practice
Editorial
+0.30
SETL
+0.30
Directly engaged: The article exercises freedom of expression and the right to seek and receive information. The independent reporting on security issues supports informed public discourse and dissemination of matters of public concern.
Observable Facts
The article is published with clear attribution to author Dan Goodin and editor Ken Fisher.
The article exercises the press's freedom to report on technology and security matters of public interest.
The site is a news platform designed to disseminate information publicly to readers.
Inferences
The publication of independent reporting on security threats reflects exercise of Article 19's protection for freedom of expression and information dissemination.
The identified authorship and editorial oversight support accountability and credibility in exercising freedom of expression.
+0.20
PreamblePreamble
Low Framing Coverage
Editorial
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SETL
+0.20
The article addresses digital security threats, which connects to the Preamble's commitment to protecting human dignity and rights against interference.
Observable Facts
The article title indicates the content reports on a Wi-Fi encryption vulnerability affecting homes, offices, and enterprises.
The article was published by an identified author (Dan Goodin) and editor (Ken Fisher) on a professional news platform.
Inferences
The article's focus on encryption security vulnerability addresses threats to human security and dignity, aligning with the Preamble's commitment to human rights protections.
The publication of this security reporting reflects the press's role in promoting informed citizenship and human rights awareness.
+0.20
Article 3Life, Liberty, Security
Low Coverage Framing
Editorial
+0.20
SETL
+0.24
The article reports on Wi-Fi encryption vulnerabilities, which are threats to digital security and the right to security of person in networked environments.
Observable Facts
The article title describes a vulnerability that 'breaks Wi-Fi encryption,' directly engaging digital security threats.
The page includes Snowplow and Google Tag Manager tracking, which collect user behavioral data without apparent explicit per-action consent.
Inferences
The article's focus on security vulnerabilities supports awareness of threats to personal security and right to protection.
The site's tracking infrastructure creates a structural tension: reporting on security threats while simultaneously implementing data collection that could compromise user security.
+0.10
Article 27Cultural Participation
Low Coverage
Editorial
+0.10
SETL
+0.10
Weakly engaged: The article contributes to scientific and technical knowledge by reporting on security research and encryption technology. This aligns with the right to share in scientific advancement.
Observable Facts
The article reports on technical security research related to Wi-Fi encryption, disseminating scientific knowledge.
Inferences
Technical reporting on encryption security contributes to public understanding of scientific developments in digital technology, supporting Article 27's right to share in scientific advancement.
ND
Article 1Freedom, Equality, Brotherhood
Not directly engaged by article content (equal dignity and rights of all humans).
ND
Article 2Non-Discrimination
Not engaged (non-discrimination); article does not address discrimination issues.
ND
Article 4No Slavery
Not engaged (slavery and servitude).
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Article 5No Torture
Not engaged (torture, cruel treatment).
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Article 6Legal Personhood
Not engaged (recognition before law).
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Article 7Equality Before Law
Not engaged (equality before law).
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Article 8Right to Remedy
Not engaged (access to remedies).
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Article 9No Arbitrary Detention
Not engaged (arrest, detention).
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Article 10Fair Hearing
Not engaged (fair trial).
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Article 11Presumption of Innocence
Not engaged (presumption of innocence).
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Article 13Freedom of Movement
Not engaged (freedom of movement).
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Article 14Asylum
Not engaged (asylum).
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Article 15Nationality
Not engaged (nationality).
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Article 16Marriage & Family
Not engaged (marriage, family).
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Article 17Property
Not engaged (property rights).
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Article 18Freedom of Thought
Not engaged (thought, conscience, religion).
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Article 20Assembly & Association
Not directly engaged (assembly, association).
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Article 21Political Participation
Not engaged (political participation).
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Article 22Social Security
Not engaged (social security).
ND
Article 23Work & Equal Pay
Not engaged (work, fair conditions).
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Article 24Rest & Leisure
Not engaged (rest, leisure).
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Article 25Standard of Living
Not engaged (adequate standard of living).
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Article 26Education
Not directly engaged (education).
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Article 28Social & International Order
Not engaged (international order).
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Article 29Duties to Community
Not engaged (community duties).
ND
Article 30No Destruction of Rights
Not engaged (limitation clause).
Structural Channel
What the site does
0.00
PreamblePreamble
Low Framing Coverage
Structural
0.00
Context Modifier
ND
SETL
+0.20
Neutral structural alignment; the site provides a platform for this content without special structural features supporting or undermining the preamble.
0.00
Article 19Freedom of Expression
Medium Coverage Practice
Structural
0.00
Context Modifier
ND
SETL
+0.30
Neutral structural alignment. The site provides a platform for journalism with identified author and editor, supporting the exercise of Article 19 rights. No observed structural barriers to publication or distribution.
0.00
Article 27Cultural Participation
Low Coverage
Structural
0.00
Context Modifier
ND
SETL
+0.10
Neutral structural alignment; the site supports dissemination of technical knowledge.
-0.10
Article 3Life, Liberty, Security
Low Coverage Framing
Structural
-0.10
Context Modifier
ND
SETL
+0.24
Negative structural signal: the site's own tracking practices (Snowplow, GTM) create security/privacy vulnerabilities for users, contradicting the article's security message.
-0.30
Article 12Privacy
Medium Coverage Framing Practice
Structural
-0.30
Context Modifier
ND
SETL
+0.53
Significant negative structural signal: The site implements extensive tracking (Snowplow, Google Tag Manager, Permutive, Google Ad Manager, Xandr) that collects behavioral data about users. While a Fides privacy consent system is present, the scope of tracking infrastructure suggests systematic data collection that undermines privacy protections Article 12 defends.
ND
Article 1Freedom, Equality, Brotherhood
No observable structural signals.
ND
Article 2Non-Discrimination
No observable structural signals.
ND
Article 4No Slavery
No observable structural signals.
ND
Article 5No Torture
No observable structural signals.
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Article 6Legal Personhood
No observable structural signals.
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Article 7Equality Before Law
No observable structural signals.
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Article 8Right to Remedy
No observable structural signals.
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Article 9No Arbitrary Detention
No observable structural signals.
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Article 10Fair Hearing
No observable structural signals.
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Article 11Presumption of Innocence
No observable structural signals.
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Article 13Freedom of Movement
No observable structural signals.
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Article 14Asylum
No observable structural signals.
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Article 15Nationality
No observable structural signals.
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Article 16Marriage & Family
No observable structural signals.
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Article 17Property
No observable structural signals.
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Article 18Freedom of Thought
No observable structural signals.
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Article 20Assembly & Association
No observable structural signals.
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Article 21Political Participation
No observable structural signals.
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Article 22Social Security
No observable structural signals.
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Article 23Work & Equal Pay
No observable structural signals.
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Article 24Rest & Leisure
No observable structural signals.
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Article 25Standard of Living
No observable structural signals.
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Article 26Education
No observable structural signals.
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Article 28Social & International Order
No observable structural signals.
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Article 29Duties to Community
No observable structural signals.
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Article 30No Destruction of Rights
No observable structural signals.
Supplementary Signals
Epistemic Quality
0.61
Propaganda Flags
0techniques detected
Solution Orientation
No data
Emotional Tone
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Stakeholder Voice
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Temporal Framing
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Geographic Scope
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Complexity
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Transparency
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Event Timeline
20 events
2026-02-26 20:01
dlq
Dead-lettered after 1 attempts: New AirSnitch attack breaks Wi-Fi encryption in homes, offices, and enterprises
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2026-02-26 20:01
dlq
Dead-lettered after 1 attempts: New AirSnitch attack breaks Wi-Fi encryption in homes, offices, and enterprises
--
2026-02-26 20:01
eval_failure
Evaluation failed: Error: Unknown model in registry: llama-4-scout-wai
--
2026-02-26 20:01
eval_failure
Evaluation failed: Error: Unknown model in registry: llama-4-scout-wai
--
2026-02-26 19:59
dlq
Dead-lettered after 1 attempts: New AirSnitch attack breaks Wi-Fi encryption in homes, offices, and enterprises
--
2026-02-26 19:59
eval_failure
Evaluation failed: Error: Unknown model in registry: llama-4-scout-wai
--
2026-02-26 19:59
rate_limit
OpenRouter rate limited (429) model=llama-3.3-70b
--
2026-02-26 19:59
eval_failure
Evaluation failed: Error: Unknown model in registry: llama-4-scout-wai
--
2026-02-26 19:58
rate_limit
OpenRouter rate limited (429) model=llama-3.3-70b
--
2026-02-26 19:57
rate_limit
OpenRouter rate limited (429) model=llama-3.3-70b
--
2026-02-26 19:47
rater_validation_fail
Validation failed for model llama-4-scout-wai
--
2026-02-26 19:37
rater_validation_fail
Parse failure for model llama-4-scout-wai: TypeError: raw.trim is not a function
--
2026-02-26 19:16
eval_success
Evaluated: Mild positive (0.19)
--
2026-02-26 19:11
dlq
Dead-lettered after 1 attempts: New AirSnitch attack breaks Wi-Fi encryption in homes, offices, and enterprises
--
2026-02-26 19:09
rate_limit
OpenRouter rate limited (429) model=llama-3.3-70b
--
2026-02-26 19:08
rate_limit
OpenRouter rate limited (429) model=llama-3.3-70b
--
2026-02-26 19:07
rate_limit
OpenRouter rate limited (429) model=llama-3.3-70b
--
2026-02-26 18:43
credit_exhausted
Credit balance too low, pausing provider for 30 min
--
2026-02-26 18:42
dlq
Dead-lettered after 1 attempts: New AirSnitch attack breaks Wi-Fi encryption in homes, offices, and enterprises
--
2026-02-26 18:41
dlq
Dead-lettered after 1 attempts: New AirSnitch attack breaks Wi-Fi encryption in homes, offices, and enterprises