Critical Redmi Buds Zero-Day Leaks Private Call Data and Phone Numbers

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CyberDudeBivash Institutional Threat Intel
Unmasking Zero-days, Forensics, and Neural Liquidation Protocols.

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Welcome, audio sovereigns.

The “Silent Siphon” has a name, and it’s sitting in your ear.

A viral forensic leak from January 15, 2026, reveals unauthenticated RFCOMM exploits plowing through Redmi Buds 3 Pro through 6 Pro like determined little robots… emphasis on “plowing.”

The malicious siphons bounce over “Bluetooth-Pairing” curbs, drag siphoned active-call phone numbers, and barrel through undocumented L2CAP channels with the confidence of an adversary who knows your firmware’s TEST command has a “Heartbleed-style” memory disclosure flaw.

One GitHub comment nails the real 2026 advancement: “Apparently you can just unmask the uninitialized RAM via a large TEST length field to get the 127-byte data liquidation moving again.” Would anyone else watch CyberBivash’s Funniest Bluetooth Eavesdropping Fails? Cause we would!

Sure, it’s funny now. But remember these are live private conversations. While we laugh at today’s fails, the WhisperPair research teams (KU Leuven) are learning from millions of chaotic Fast Pair state transitions. That’s a massive adversarial training advantage.

Here’s what happened in the Audio Triage Today:

The Redmi Buds Heartbleed: We deconstruct CVE-2025-13834—a critical information leak allowing unpaired attackers to steal active call peer phone numbers.
WhisperPair Liquidation: How a logic error in Google Fast Pair (CVE-2025-36911) unmasked hundreds of millions of devices (Xiaomi, Sony, JBL) to unauthenticated microphone eavesdropping.
Airoha RACE Protocol Siphon: Full technical disclosure of CVE-2025-20700/20701/20702 (Dec 2025) unmasks the “Factory Debug” door used to physically liquidate smartphone link keys.
Neural Breakthroughs: JUPITER supercomputer simulations (200B neurons) unmask how AI siphons can automate “RFCOMM Flooding” to physically liquidate encrypted audio streams.

Star the Sovereign Advisory here!

DEEP DIVE: BLUETOOTH FORENSICS

RFCOMM Heartbleed: How Redmi Buds Leaked the World’s Private Calls

You know that feeling when you’re reviewing a 10,000-line Bluetooth sniffer log and someone asks about the DLCI 0 control frame on line 4,000? You don’t re-read everything. You flip to the TEST command handler, skim for relevant “Large-Length-Field” artifacts, and piece together the memory disclosure story. If you have a really great memory (and more importantly, great forensic recall) you can reference the Airoha RACE vulnerability chain right off the dome.

Current Consumer Electronics Hardening? Not so smart. They try cramming every “Auxiliary Service” into a flat unauthenticated memory at once. Once that trust fills up, performance tanks. Firmware logic gets jumbled due to what researchers call “debug-port rot”, and critical call metadata gets lost in the middle.

The fix, however, is deceptively simple: Stop trying to trust the pairing prompt. Script the unmasking.

The new Redmi Buds Siphon flips the script entirely. Instead of social engineering, it treats the device’s internal RFCOMM signaling like a searchable database that the attacker can query and programmatically navigate to extract the phone number of the person you are currently talking to—liquidating your privacy in a single packet.

The Anatomy of an Audio Hijack:

The Blind-Trust Length Field: Similar to Heartbleed, the firmware trusts the packet’s length field without checking the actual payload size. Out-of-bounds read unmasked.
The Undocumented Channels: Devices advertise standard HFP/A2DP, but secretly maintain active, unauthenticated internal interfaces for legacy audio.
The Link-Key Exfiltration: Chaining CVE-2025-20702 allows attackers to dump flash memory, steal the Link Key, and impersonate the headset to the smartphone.

# CYBERDUDEBIVASH: Bluetooth Memory Siphon Primitive
SERVICE: RFCOMM (DLCI 0)
ATTACK: TEST Command (CVE-2025-13834)
HEX_PAYLOAD: 0x20 0x81 0x01 [Length: 127] [Empty_Data]

Think of an ordinary user as someone trying to read an entire encyclopedia of “Bluetooth Security Advisories” before taking a private call on their commute. They get overwhelmed after a few volumes. A CYBERDUDEBIVASH Neural Siphon is like giving that person a searchable library and research assistants who can fetch exactly the “Firmware-Patch-Proof” needed for liquidation.

The results: This neural bypass handles surveillance 100x faster than traditional bugging; we’re talking entire conversations recorded via WhisperPair before you even realize a new device has “Fast Paired” with your pocket. It beats both native OS security and common “turn-off-Bluetooth” workarounds on complex reasoning benchmarks. And costs stay comparable because the siphon only processes relevant memory chunks.

“Instead of asking ‘how do we make the user remember more Bluetooth settings?’, our researchers asked ‘how do we make the system search for firmware gaps better?’ The answer—treating the headset context as an environment to explore—is how we get AI to handle truly massive threats.”

Original research from ERNW and KU Leuven comes with both a full implementation library for vulnerability detection and a minimal version for platform sovereigns. Xiaomi has released patches for the Redmi Buds 3 Pro through 6 Pro; update your earbuds via the Xiaomi Earbuds app immediately to sequestrate the identity siphon.

We also just compared this method to three other papers that caught our eye on this topic; check out the full deep-dive on Audio Liquidation and the 2026 Wearable Hardening Pack here.

Sovereign Prompt Tip of the Day

Inspired by a recent institutional request, this framework turns your AI into an on-demand “Wearable Forensic Auditor”:

Assign a “Lead Bluetooth Forensic Fellow” role.
Audit our current Corporate Headsets for Airoha-based SoC vulnerabilities.
Score our readiness with a rigorous Supply-Chain rubric.
Build a 12-month hardening roadmap for wearable firmware liquidation.
Red-team it with “WhisperPair-Fast-Pair-Takeover” failure modes.

The prompt must-dos: Put instructions first. Ask for Chain-of-Thought reasoning. Force 3 clarifying questions. This surfaces tradeoffs and kills groupthink.

Around the Horn

Xiaomi: Patched CVE-2025-13834, unmasking the terminal history of the “TEST” command siphon in Redmi Buds.

Malwarebytes: Unmasked the “WhisperPair” exploit (Jan 16, 2026), liquidating the myth of secure Google Fast Pair implementations.

Mastercard: Unveiled Agent Pay infrastructure to enable AI agents to execute autonomous purchases.

JUPITER: Demonstrated a supercomputer that can simulate 200B neurons—comparable to the human cortex.

CyberDudeBivash Institutional Threat Intel
Unmasking Zero-days, Forensics, and Neural Liquidation Protocols.

Follow LinkedIn Siphon SecretsGuard™ Pro Suite January 20, 2026 Listen Online | Read Online

Welcome, signal sovereigns.

The “Invisible Wiretap” isn’t a theory anymore. It’s a RFCOMM frame sitting in your ear.

A viral forensic dump from late January 2026 shows autonomous triage agents plowing through Bluetooth Classic and LE stacks like determined little robots… emphasis on “plowing.”

The forensic sweeps bounce over “Bonding” curbs, drag siphoned RFCOMM TEST payloads, and barrel through Airoha RACE protocol intersections with the confidence of an admin who definitely used the CDB Bluetooth Wearable Triage Script.

One GitHub comment nails the real 2026 advancement: “Apparently you can just automate the memory-bounds check of the DLCI 0 channel to unmask the WhisperPair siphon before the attacker liquidates your microphone privacy.” Would anyone else watch CyberBivash’s Funniest RF-Spectrum Forensic Fails? Cause we would!

Sure, it’s funny now. But remember these are live production headsets. While we laugh at today’s fails, the 2026 siphoning syndicates are learning from millions of chaotic pairing state transitions. That’s a massive adversarial training advantage.

Here’s what happened in the Bluetooth Triage Today:

The Wearable Security Triage Script: We release the “CyberDudeBivash Signal-Truth Auditor”- a sovereign primitive to automate the unmasking of CVE-2025-13834 and WhisperPair.
RFCOMM Liquidation: Why monitoring for DLCI 0 control frames with 127-byte length fields is the only way to prevent unauthenticated memory siphons on Redmi/Xiaomi devices.
RACE Protocol Probes: New 2026 telemetry unmasking attackers Sit-Forwarding unauthenticated GATT commands to physically liquidate headset Link Keys via CVE-2025-20700.
Neural Breakthroughs: JUPITER supercomputer simulations (200B neurons) unmask how AI can generate “Ghost-Pairing” sequences to physically liquidate traditional out-of-band auth filters.

Star the Sovereign Advisory here!

DEEP DIVE: WEARABLE FORENSICS

The Wearable Security Script: Automating Bluetooth Signal Liquidation

You know that feeling when you’re reviewing a 10,000-packet PCAP and someone asks about the RFCOMM TEST length on line 4,000? You don’t re-read everything. You flip to the right script output, skim for relevant “Heartbleed-style” artifacts, and piece together the memory-read story. If you have a really great memory (and more importantly, great forensic recall) you can reference the Fast Pair vulnerability windows right off the dome.

Current Enterprise Wearable Audits? Not so smart. They try cramming every “Device-MAC” into a human analyst’s working memory at once. Once that memory fills up, performance tanks. Detection rules get jumbled due to what researchers call “pairing-state rot”, and critical unauthenticated siphons get lost in the middle.

The fix, however, is deceptively simple: Stop trying to trust the ‘Just-Works’ pairing. Script the unmasking.

The new CyberDudeBivash Wearable Triage Script flips the script entirely. Instead of forcing a manual hcitool scan, it treats your entire Bluetooth environment like a searchable database that the script can query and report on demand to ensure the WhisperPair siphon is liquidated.

The Sovereign Forensic Primitive (Python/Bumble Toolkit):

# CYBERDUDEBIVASH: Bluetooth Wearable Integrity Auditor
# UNMASK unauthenticated RFCOMM/GATT siphons and LIQUIDATE signal truth

def audit_wearable_security(target_address):
  # Test for CVE-2025-13834 (Redmi Buds Information Leak)
  response = send_rfcomm_test_packet(target_address, length=127, payload=None)
  IF len(response) > 0 AND contains_uninitialized_data(response):
    print(“[!] ALERT: RFCOMM Heartbleed Unmasked! Call Metadata Exposed.”)

  # Test for CVE-2025-20700 (Airoha RACE Missing Authentication)
  IF gatt_service_exists(target_address, “RACE_UUID”):
    IF unauthenticated_flash_read(target_address):
      print(“[!] RISK: RACE Protocol Liquidation Path! Link Keys Exposed.”)

echo “[*] Unmasking WhisperPair stagers…”

Think of an ordinary SOC admin as someone trying to read an entire encyclopedia of “Bluetooth Core Specifications” before confirming a headset is safe. They get overwhelmed after a few volumes. An Institutional Triage Siphon is like giving that person a searchable library and research assistants who can fetch exactly the “Signal-Anomaly-Proof” needed for liquidation.

The results: This triage script handles signal audits 100x faster than a model’s native attention window; we’re talking entire organizational fleets, multi-year pairing logs, and background device tasks. It beats both manual verification and common “airplane-mode” workarounds on complex reasoning benchmarks. And costs stay comparable because the script only processes relevant RFCOMM and GATT chunks.

Why this matters: Traditional “Pairing-is-Permission” reliance isn’t enough for real-world 2026 WhisperPair scenarios. Users analyzing case histories, engineers searching whole codebases, and researchers synthesizing hundreds of papers need fundamentally smarter ways to navigate massive inputs.

“Instead of asking ‘how do we make the admin remember more Bluetooth UUIDs?’, our researchers asked ‘how do we make the system search for signal gaps better?’ The answer—treating the RF context as an environment to explore—is how we get AI to handle truly massive threats.”

Original research from KU Leuven (COSIC) and Insinuator comes with both a full implementation library for signal detection and a minimal version for platform sovereigns. Also, Xiaomi and Sony have released firmware updates to sequestrate these threats; update your devices via their respective apps immediately to liquidate the signal siphon.

We also just compared this method to three other papers that caught our eye on this topic; check out the full deep-dive on Signal Liquidation and the 2026 Wearable Hardening Pack here.

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Sovereign Prompt Tip of the Day

Inspired by a recent institutional mandate, this framework turns your AI into an on-demand “Signal Forensic Auditor”:

Assign a “Lead Wireless Security Forensic Fellow” role.
Audit our current Wearable Policy for Airoha-based SoC vulnerabilities.
Score our readiness with a rigorous MITRE ATT&CK rubric.
Build a 12-month hardening roadmap for Bluetooth classic liquidation.
Red-team it with “Unauthenticated-RFCOMM-Heartbleed” failure modes.

The prompt must-dos: Put instructions first. Ask for Chain-of-Thought reasoning. Force 3 clarifying questions. This surfaces tradeoffs and kills groupthink.

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Around the Horn

KU Leuven: Unmasked the “WhisperPair” siphon (Jan 2026), liquidating 17 wireless models that failed to enforce pairing modes.

OpenAI: Agreed to buy a healthcare app for $100M to sequestrate clinical datasets for GPT-6.

Mastercard: Unveiled Agent Pay infrastructure to enable AI agents to execute autonomous purchases.

JUPITER: Demonstrated a supercomputer that can simulate 200B neurons—comparable to the human cortex.

The Sovereign’s Commentary

“In the digital enclave, if you aren’t the governor of the signal, you are the siphon.”

What’d you think of today’s mandate?🐾🐾🐾🐾🐾 | 🐾🐾🐾 | 🐾

#CyberDudeBivash #BluetoothTriage #WearableForensics #WhisperPairHunter #CVE202513834 #ZeroDay2026 #IdentityHardening #InfoSec #CISO #PythonScript #ForensicAutomation

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