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Yapay Zeka Sıfırıncı Gün Açığı Bulmaya Başladı
Cybersecurity

Artificial Intelligence Starts to Find the Day Caller

Automatically translated
Hüseyin Şimşek
Hüseyin ŞimşekAdmin
7 min read
Artificial intelligence started to find a zero day deficit. HTTP Terminator created 30,000 vectors, Kimiminator K3 agents extracted Redis open.

Autuz bin candidate attack vector, about 700 poor targets. PortSwigger announced on August 7, 2026, HTTP Terminator reached figures with a line of artificial intelligence-supported production, not with the human labor that lasts weeks. At the end of July, a similar claim on the Redis side came. The technical background of two cases in the article, the verified and unaffirmed parts, address the meaning of defense teams.

Protokol belgelerinin parçalara ayrılıp aday test vektörlerine dönüştürülmesini gösteren teknik şema, yapay zeka destekli zafiyet araştırması.

What is Artificial Intelligence Zero Day Connection, How to Find?

The idea of searching automatic vulnerability is not new. Fuzzing has been pushing software with random or mutational inputs for years, extracting inputs that produce crash. What is new, where it comes from the input produced.

Language models can read protocol documents and derive meaningful candidate test situations. Instead of producing random bytes, what interpretation differences from their sentences of the standard are removed. Then these candidates are automatically tried, the survivors are left to the human researcher.

Very volume of difference. Instead of dozens of scenarios that a researcher can build for a week, it can be produced and discussed on thousands of scenarios in the same time. Artificial intelligence security A theoretical remaining title for a long time of discussion has been in practice with two separate cases in July and August.

How Does HTTP Terminator Produce 30,000 vectors?

PortSwigger research director James Kettle’s system, According to the news published in The Hacker News 138 pcs were expected with HTTP and SMTP standard document. Documents were divided into about 15.000 small parts and 30,000 unique candidate pattern vectors were produced from these parts.

The tests were conducted on 30,000 sites, which were allowed to scan via the error prize or poor notification program. About 700 poor targets were found prior to verification. The findings according to the transfer of Kettle include banks, public infrastructure, security products and a airport.

One technique, Content-Type: multipart/byteranges Based on the header, the approach worked on multiple server applications and revealed more than 200 sites in the test set. One of them is a U.S. bank that is not disclosed.

16 ideas were tried to make response tail poisoning more reliable. Only the technique called "dangling-byte" from the assessment. The method leaves the missed request missing a bytes and ends the production of the second response until the missing bytes complete the request of the victim.

Autonomi border Technical article of PortSwigger clearly drawn. Shared-Parser recommended the system for the broader attack called Confusion, verified and aggregated the Kettle.

"We can't find it alone." - James Kettle, PortSwigger

No need to read the Sentence as a marketing expression. Kettle’s musculoskeletal system is not a self-extinguishing machine; it provides scale in production and screening phase, in conceptualization stage, the human intervention is decisive. The zero day on Apache Traffic Server appeared in a human-oriented chain.

HTTP Terminator is released as open source. Claude for document extraction and testing production in published application is used Claude Code for research phase. Anthropic's agent-oriented models Home Claude Sonnet 5 In the same period, security evaluations were met.

Ön uç ve arka uç sunucu arasında istek desenkronizasyonunu, yanıtın yanlış bağlantıya yönlenmesini gösteren HTTP güvenlik şeması ve saldırı akışı.

Who did K3?

On the second case database side. Redis, 23 With security versions published in July 2026 seven separate spreads. Earlier, researchers had shared evidence codes that run ID verification remote code targeting 6.2.22, 7.4.9, 8.6.4 and 8.8.0 versions.

All chains require access to the RESTORE command. In addition to a part, it needs RedisBloom module, including EVAL and XGROUP commands or package. Azaltım side is simple: If the RESTORE authority is absolutely not required, two ways are closed.

What is the most important part. According to the news published in The Hacker News The researcher Chaofan Shou shared Kimi K3 agents were found on 19 Redis zero in about 90 minutes. In a separate run, Redis was transferred to the 8.8.0 exploit in 27 minutes. The team publishing evidence codes defines itself as an artificial intelligence agent research.

The model of Moonshot AI, Kimi K3 with the release of open source weights I was already on my day. With a few days of the same model family, there was a separate discussion on the role of open models in the security research.

Redis veritabanında RESTORE komutunun oluşturduğu saldırı yüzeyini ve yetki daraltmanın etkisini gösteren soyut teknik illüstrasyon.

Which Iddias Verified, Which They Are Not Specified?

Two cases in Turkish sources were mostly transferred with the title "pay intelligence found 19 zero days". Registrations show a more detailed table.

Redis’s public record confirms the presence and corrections of the open. The same record cannot verify the number of available open or how independent the agents work. Numbers and times of the researcher's own statement.

There is a verification gap on the Apache side. The zero day on Traffic Server is called CVE-2026-63078, but what is the record in 7 August control of The Hacker News CVE.orgWhat could be found in NVD. Apache’s security announcement also lists 34 vulnerabilities.

Tags

Status

Home

Redis clears and patches

Verified

23 July release notes

19 open, 90 min a

Home

Researcher sharing

New patternmatic techniques Home

Verified

PortSwigger technical post

Apache CVE-2026-63078

Undefined

CVE.org and no registration on NVD

Abused in wild nature

No registration

CISA KEV catalog

I have a practical equivalent of my separation. A defense team plans according to the jealous that has been verified, review the threat model according to the declared speed. If two information is processed in the same weight or unnecessary rehavet arises.

Yapay zeka sıfırıncı gün açığı iddialarında doğrulanmış kamu kayıtları ile araştırmacı beyanlarının ayrımını gösteren matris görseli.

Which Risks Revealed For Attackers?

The same ability is not specific to the defense side. In July 2026, the artificial intelligence agent named Hermes was reported that the Thai Finance Ministry was run in unsupervised stage after leaking. The presence of steps carried out without human guidance in operation distinguishes the incident from an ordinary public institution breach.

Three changes appear in terms of the threat model:

Speed: Exception production is descending from weeks to hours, the patch window is populated. Scale: A single operator can scan a large number of targets with parallel-powered agents simultaneously. Continuity: The agent can continue to process as soon as the operator keyboard is not at the beginning.

Potential of abuse of autonomous systems harmful artificial intelligence models Home for years. The difference is that there is no assumption of examples anymore.

Gözetimsiz çalışan yapay zeka ajanının ağ içinde sızma sonrası ilerleyişini temsil eden soyut siber güvenlik görseli ve saldırı yayılım haritası.

Classic and Agent Supported Research Comparison

It was the production of a bottleneck idea in classical labor research. He set up a hypothesis with his researcher seizgi, they were corrected manually. The agent slips into the narrowing and verification side in the supported flow.

Dimensions Tags

Classical research

Agent-supported research

Idea Source

Researchers

Specimen

Vector count

Home

Thousands of

News

Human review

Automatic elimination, human approval

Patch window

Weeks

Home

Public registration

Simultaneously

Tags

The last line is the most painful in the app. The institutions connecting the patch calendar to the CVE number can never take the vulnerability to the tracking list if the delay of the registration. The Redis example shows a second format: recommended in May 6.2.22 and 7.4.9 versions needed to re-update on July. The information " patched at the same time" is not enough alone, the branch version itself should be checked.

Zafiyet duyurusu ile çalışan istismar arasındaki yama penceresinin yapay zeka sıfırıncı gün açığı çağında daralmasını gösteren zaman ekseni grafiği.

What Steps Do The Institutions Take Today?

Somut steps can be removed from their reduction recommendations of two cases.

Verify Dal version: Not only rely on the "update" tag on redis installations, the full version number of the employee branch should be checked. Reduced authorization: Powerful commands like RESTORE should be removed from undefinite accounts, unsecured network access to the database. Reduce HTTP/1.1 dependence: PortSwigger’s proposal to avoid using HTTP/1.1 on the back-end traffic. If it is not removed, both in the front end, the method permission list should be applied and the methods that can carry the body should be limited. Move without waiting for registration: CISA’s known abused vulnerabilities catalog to continue to be monitored, but the patch decision should not only be connected to the catalog record. Review code production flow: Autonomous coding models Home Since teams work in their pipelines, the authorizations given to agents should be re-set according to the minimum privilege principle.

Yetki daraltma, protokol sertleştirme ve izleme katmanlarını gösteren savunma kontrolleri mimarisi, yapay zeka çağı sertleştirme illüstrasyonu.

Frequently Asked Questions

Can artificial intelligence really find zero day vulnerability per itself? Home The production and elimination of candidate test vectors is automatically walking, but in both cases the conceptualization and verification phase, the human researcher remained in the circuit. In the description of PortSwigger, the finding in Apache is specified from a human-direct chain.

What is HTTP Terminator and how to access? HTTP Terminator is an artificial intelligence-supported research system developed by James Kettle in PortSwigger. Published as open source. For document extraction and testing production, Claude uses Claude Code for research stage.

Is my redis installations at risk? Risk depends on version branch and authorization. The evidence codes aimed at 6.2.22, 7.4.9, 8.6.4 and 8.8.0 and all require access to the RESTORE command. The corrected release released on July 23 is recommended to narrow the RESTORE authority until the transition is completed.

Is there a record that these opens are abused in wild nature? No public records. In the review of The Hacker News, there was a abuse record on what Redis’s July release notes, nor CISA’s known abused zafiyetler catalog. It should be kept in mind that the situation may change in the following weeks.

What is practical meaning for teams in Turkey? The patch calendar needs to be installed according to the seller announcement, not to CVE registration. Redis is a short-term concrete step to review the branch versions of the teams running Apache Traffic Server and similar infrastructure components manually verification, strong script authorization.

The common point of the two cases is the speed of the openness. The system of the Kettle fits a single research cycle that will last for weeks, the claim on the Redis side is measuring the time with minutes. Public records will be seen in the next months that they will not grow and grow to this speed.

Autuz bin candidate attack vector, about 700 poor targets. PortSwigger announced on August 7, 2026, HTTP Terminator reached figures with a line of artificial intelligence-supported production, not with the human labor that lasts weeks. At the end of July, a similar claim on the Redis side came. The technical background of two cases in the article, the verified and unaffirmed parts, address the meaning of defense teams. What is Artificial Intelligence Zero Day Connection, How to Find? The idea of searching automatic vulnerability is not new. Fuzzing has been pushing software with random or mutational inputs for years, extracting inputs that produce crash. What is new, where it comes from the input produced. Language models can read protocol documents and derive meaningful candidate test situations. Instead of producing random bytes, what interpretation differences from their sentences of the standard are removed. Then these candidates are automatically tried, the survivors are left to the human researcher. Very volume of difference. Instead of dozens of scenarios that a researcher can build for a week, it can be produced and discussed on thousands of scenarios in the same time. Artificial intelligence security A theoretical remaining title for a long time of discussion has been in practice with two separate cases in July and August. How Does HTTP Terminator Produce 30,000 vectors? PortSwigger research director James Kettle’s system, According to the news published in The Hacker News 138 pcs were expected with HTTP and SMTP standard document. Documents were divided into about 15.000 small parts and 30,000 unique candidate pattern vectors were produced from these parts. The tests were conducted on 30,000 sites, which were allowed to scan via the error prize or poor notification program. About 700 poor targets were found prior to verification. The findings according to the transfer of Kettle include banks, public infrastructure, security products and a airport. One technique, Content-Type: multipart/byteranges Based on the header, the approach worked on multiple server applications and revealed more than 200 sites in the test set. One of them is a U.S. bank that is not disclosed. 16 ideas were tried to make response tail poisoning more reliable. Only the technique called "dangling-byte" from the assessment. The method leaves the missed request missing a bytes and ends the production of the second response until the missing bytes complete the request of the victim. Autonomi border Technical article of PortSwigger clearly drawn. Shared-Parser recommended the system for the broader attack called Confusion, verified and aggregated the Kettle. "We can't find it alone." - James Kettle, PortSwigger No need to read the Sentence as a marketing expression. Kettle’s musculoskeletal system is not a self-extinguishing machine; it provides scale in production and screening phase, in conceptualization stage, the human intervention is decisive. The zero day on Apache Traffic Server appeared in a human-oriented chain. HTTP Terminator is released as open source. Claude for document extraction and testing production in published application is used Claude Code for research phase. Anthropic's agent-oriented models Home Claude Sonnet 5 In the same period, security evaluations were met. Who did K3? On the second case database side. Redis, 23 With security versions published in July 2026 seven separate spreads. Earlier, researchers had shared evidence codes that run ID verification remote code targeting 6.2.22, 7.4.9, 8.6.4 and 8.8.0 versions. All chains require access to the RESTORE command. In addition to a part, it needs RedisBloom module, including EVAL and XGROUP commands or package. Azaltım side is simple: If the RESTORE authority is absolutely not required, two ways are closed. What is the most important part. According to the news published in The Hacker News The researcher Chaofan Shou shared Kimi K3 agents were found on 19 Redis zero in about 90 minutes. In a separate run, Redis was transferred to the 8.8.0 exploit in 27 minutes. The team publishing evidence codes defines itself as an artificial intelligence agent research. The model of Moonshot AI, Kimi K3 with the release of open source weights I was already on my day. With a few days of the same model family, there was a separate discussion on the role of open models in the security research. Which Iddias Verified, Which They Are Not Specified? Two cases in Turkish sources were mostly transferred with the title "pay intelligence found 19 zero days". Registrations show a more detailed table. Redis’s public record confirms the presence and corrections of the open. The same record cannot verify the number of available open or how independent the agents work. Numbers and times of the researcher's own statement. There is a verification gap on the Apache side. The zero day on Traffic Server is called CVE-2026-63078, but what is the record in 7 August control of The Hacker News

Etiketler:Yapay Zeka Sıfırıncı Gün AçığıYapay Zeka Sıfırıncı Gün Açığı 2026Güvenlik Ekipleri İçin Otonom Zafiyet AraştırmasıYapay Zeka Açık Bulabilir miHTTP Terminator PortSwigger
Hüseyin Şimşek
Hüseyin ŞimşekAdmin
@huseyincsec

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