Tech support scam caused massive data breach at Australian airline Qantas ⁠38%

7/16/2026, 8:27:47 AM

BS Summary: This article contains 22 faulty reasoning types, including Appeal to Authority, Ambiguity (Equivocation), and Primacy Effect, with Biased Writer Voice as the most egregious example at 26.8% saturation with 148 hits. Analysis detected 1,078 faulty-reasoning hits from 552 analyzed words, generating a BS Score of 44.1% and a BS Rank of ⁠38% (13,614 of 21,887 articles). This article is better (less manipulative) than 62.20% of the article peer group.

Australia’s Privacy Commissioner has revealed a tech support scam was the cause of the massive 2025 data breach at Australian airline Qantas and found the carrier didn’t breach its privacy obligations despite leaking personally identifiable information for 5.7 million customers. 
The Commissioner reached that conclusion, and a decision not to open a formal privacy probe, in a report published today. 
Qantas has previously admitted the incident was the result of a social engineering attack on a contact center. 
The Commissioner’s report goes deeper, explaining a crook who claimed to represent “Qantas IT help” made the call and told a contact center agent to access a CRM system and perform certain actions needed to close a support ticket. 
Those actions instead connected the CRM to a data extraction tool which the crooks used to siphon off customer records. 
The Commissioner considered whether Qantas observed the Australian Privacy Principles (APPs), the binding rules that govern how businesses safeguard PII, and found the airline did the right thing. 
The report found that Qantas audited the operator of the contact center and tested the security awareness of its employees – and had done so in the months before the incident. 
Qantas also conducted mandatory and recurring training on how to handle PII. 
The Commissioner was therefore satisfied Qantas took adequate steps to ensure the contact center observed the APPs and didn’t fail in its obligations. 
The regulator made a similar finding regarding the airline’s cross-border data-sharing practices. 
“Our inquiries did not identify any omissions in the steps Qantas took that, if addressed, would have prevented the breach that occurred in this incident,” the report states. 
The APPs include a requirement to take reasonable steps to protect personal information from unauthorized access. 
Again, the Commissioner decided Qantas complied because it used role-based access controls, among other techniques to protect data. 
Another issue the regulator considered was whether Qantas took reasonable steps to destroy or de-identify the personal information it didn’t need. 
The carrier told the Privacy Commissioner that it scheduled annual data removal runs from its CRM, and that no records that deserved deletion or removal were present at the time of the attack. 
That clean record saw the Commissioner decide not to launch a deeper investigation. 
“I have a broad discretion to commence an investigation of an act or practice where it may be a contravention of the APPs and where it is desirable to do so,” the report states. 
The first-person pronoun is presumably the work of Commissioner Carly Kind, who observed “it does not appear that Qantas could have reasonably foreseen and prevented the breach in the manner that it occurred. 
The way in which the threat actor gained access was through a vishing attack which could not have been prevented by a strengthening of Qantas’ current role-based access controls.” 
It’s possible the Commissioner will revisit the matter at another time, and class-action lawsuits are also in train regarding the incident. 
Qantas may therefore still have to fight through plenty of turbulence before this matter lands. 
One thing the report doesn’t address is the identity of the attackers. 
Pundits have suggested the Scattered Spider gang did the deed after it started attacking the aviation industry in the weeks before the Qantas incident. 
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Article reasoning-pattern comparisonThis article: 9.8%The Register: 3.3%Confirmation Bias9.8%This article: 0.0%The Register: 1.0%Anchoring Bias0.0%This article: 8.2%The Register: 3.2%Availability Heuristic8.2%This article: 4.3%The Register: 1.1%Representativeness Heuristic4.3%This article: 10.3%The Register: 1.3%Hindsight Bias10.3%This article: 5.3%The Register: 2.3%Overconfidence Bias5.3%This article: 0.0%The Register: 5.0%Framing Effect0.0%This article: 0.0%The Register: 0.7%Loss Aversion0.0%This article: 3.8%The Register: 0.8%Status Quo Bias3.8%This article: 0.0%The Register: 0.2%Sunk Cost Effect0.0%This article: 0.0%The Register: 3.0%Optimism Bias0.0%This article: 6.5%The Register: 2.6%Pessimism Bias6.5%This article: 10.7%The Register: 8.2%Negativity Bias10.7%This article: 6.0%The Register: 1.9%Self-Serving Bias6.0%This article: 0.0%The Register: 0.8%Fundamental Attribution Error0.0%This article: 0.0%The Register: 0.1%Actor-Observer Bias0.0%This article: 0.0%The Register: 0.4%In-Group Bias0.0%This article: 0.0%The Register: 0.4%Out-Group Homogeneity Bias0.0%This article: 5.1%The Register: 1.4%Halo Effect5.1%This article: 0.0%The Register: 0.1%Horn Effect0.0%This article: 0.0%The Register: 0.0%Dunning-Kruger Effect0.0%This article: 3.6%The Register: 1.9%Recency Bias3.6%This article: 11.6%The Register: 0.3%Primacy Effect11.6%This article: 0.0%The Register: 0.1%Blind-Spot Bias0.0%This article: 0.0%The Register: 0.7%Ad Hominem0.0%This article: 0.0%The Register: 0.2%Straw Man0.0%This article: 17.4%The Register: 4.2%Appeal to Authority17.4%This article: 5.3%The Register: 1.7%False Dilemma5.3%This article: 0.0%The Register: 1.2%Slippery Slope0.0%This article: 0.0%The Register: 0.1%Circular Reasoning0.0%This article: 0.0%The Register: 6.2%Hasty Generalization0.0%This article: 2.2%The Register: 0.3%Red Herring2.2%This article: 0.0%The Register: 0.7%Bandwagon0.0%This article: 2.7%The Register: 3.0%Appeal to Emotion2.7%This article: 0.0%The Register: 0.9%Begging the Question0.0%This article: 8.7%The Register: 2.0%Post Hoc (False Cause)8.7%This article: 0.0%The Register: 0.2%Tu Quoque0.0%This article: 11.1%The Register: 0.7%Burden of Proof11.1%This article: 0.0%The Register: 0.2%Appeal to Nature0.0%This article: 0.0%The Register: 0.3%Composition/Division0.0%This article: 11.4%The Register: 2.2%Anecdotal11.4%This article: 0.0%The Register: 0.0%No True Scotsman0.0%This article: 13.4%The Register: 2.1%Ambiguity (Equivocation)13.4%This article: 0.0%The Register: 0.0%Gambler’s Fallacy0.0%This article: 0.0%The Register: 0.1%Middle Ground0.0%This article: 0.0%The Register: 0.1%Personal Incredulity0.0%This article: 0.0%The Register: 0.2%Special Pleading0.0%This article: 0.0%The Register: 0.2%Genetic Fallacy0.0%This article: 11.2%The Register: 2.3%Unattributed Quote11.2%This article: 0.0%The Register: 1.3%Quote-first Misdirection0.0%This article: 26.8%The Register: 7.3%Biased Writer Voice26.8%This article: 0.0%The Register: 1.5%Indoctrination0.0%This article: 0.0%The Register: 0.2%Politically Left Leaning Bias0.0%This article: 0.0%The Register: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%The Register: 2.5%Attempt to Sell a Product or S…0.0%

552 words analyzed.

Speakers

3speakers78%attributed speech120writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageAustralia’s Privacy Commissioner • 40 words • 0.0% coverageAustralia’s Privacy Commissioner • 20 words • 0.0% coverageQantas • 18 words • 0.0% coverageAustralia’s Privacy Commissioner • 39 words • 100.0% coverageWriter's voice • 20 words • 100.0% coverageAustralia’s Privacy Commissioner • 28 words • 100.0% coverageAustralia’s Privacy Commissioner • 31 words • 0.0% coverageQantas • 12 words • 0.0% coverageAustralia’s Privacy Commissioner • 23 words • 0.0% coverageAustralia’s Privacy Commissioner • 12 words • 0.0% coverageAustralia’s Privacy Commissioner • 28 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageAustralia’s Privacy Commissioner • 18 words • 0.0% coverageAustralia’s Privacy Commissioner • 21 words • 0.0% coverageQantas • 33 words • 0.0% coverageAustralia’s Privacy Commissioner • 13 words • 100.0% coverageAustralia’s Privacy Commissioner • 34 words • 100.0% coverageCarly Kind • 33 words • 100.0% coverageCarly Kind • 29 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 15 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverage
Selected voice

Carly Kind

100%flagged-word coverage
62 attributed words14% of attributed speech99% writer coverage
0%27.5%55.0%Biased Writer Voice+24.1 ptsWriter: 29.2%Carly Kind: 53.2%53.2%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.