← Glossary / HTTPS Interception

What is HTTPS Interception?

HTTPS interception (often called MITM or Man-in-the-Middle proxying) is the technique of decrypting, inspecting, and re-encrypting TLS traffic between a client and a server. For scraping engineers, it's the foundational mechanism for reverse-engineering mobile APIs, debugging anti-bot telemetry, and capturing raw JSON payloads before the browser's JavaScript engine mutates them. If you can't intercept the traffic, you can't build the pipeline.

Network LayerMITMTLSReverse EngineeringAPI Discovery
// 02 — definitions

Break the
trust chain.

How to sit between the client and the server, decrypt the traffic in transit, and extract the raw API contracts that power modern web and mobile apps.

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TL;DR

HTTPS interception works by installing a custom Root Certificate Authority (CA) on the client device or browser. The proxy intercepts the outbound request, dynamically generates a fake certificate for the target domain signed by the custom CA, and establishes two separate TLS tunnels: one to the client, one to the server. This exposes the plaintext HTTP/2 frames and JSON payloads to the proxy.

01Definition & structure

HTTPS interception is the process of placing a proxy server between a client and a destination server to decrypt and inspect TLS-encrypted traffic. Because TLS is designed specifically to prevent this, the client must be explicitly configured to trust the proxy.

The structure requires three components:

  • Custom Root CA: A cryptographic certificate generated by the proxy and installed in the client's OS or browser trust store.
  • Dynamic Certificate Generation: When the client requests api.target.com, the proxy generates a fake certificate for that domain on the fly, signed by the custom Root CA.
  • Dual TLS Tunnels: The proxy maintains one encrypted connection with the client and a separate encrypted connection with the actual server, bridging the plaintext in memory.
02How it works in practice

In a scraping context, interception is primarily a reverse-engineering tool. An engineer configures their mobile device or browser to route traffic through a tool like mitmproxy, Charles, or Fiddler. As they interact with the target app, the proxy logs every API request.

This reveals the exact JSON payloads, hidden pagination cursors, undocumented API endpoints, and the specific sequence of authentication headers required to fetch the data. The engineer then writes a scraper that replicates these exact HTTP requests directly, bypassing the heavy UI rendering entirely.

03Certificate pinning & bypass

To prevent interception, high-security mobile apps use Certificate Pinning. Instead of trusting any certificate signed by a CA in the OS trust store, the app hardcodes the hash of the server's actual public key. When the proxy presents its dynamically generated fake certificate, the hash doesn't match, and the app drops the connection.

Bypassing this requires modifying the app's behavior at runtime. Engineers use rooted/jailbroken devices and dynamic instrumentation tools (like Frida) to hook into the app's memory and rewrite the TLS validation functions to always return true, forcing the app to accept the proxy's certificate.

04How DataFlirt handles it

We use HTTPS interception exclusively as a scoping and discovery mechanism. When a client requests data from a closed mobile app ecosystem, our scoping engineers route a physical lab device through our internal MITM cluster. We map the API surface, extract the authentication logic, and identify the anti-bot telemetry payloads.

Once the contract is understood, we build a direct HTTP client in Go or Python. We never run interception proxies in our production scraping fleet. Production pipelines must maintain pristine TLS fingerprints (JA3/JA4) to avoid bot detection, and a MITM proxy inherently destroys the original client's TLS signature.

05Did you know: HTTP/2 multiplexing

Intercepting HTTP/2 traffic is significantly more complex than HTTP/1.1. Because HTTP/2 multiplexes multiple concurrent requests over a single TCP connection using binary framing, the interception proxy must maintain a stateful frame buffer, decode the HPACK header compression, and re-multiplex the streams on the outbound connection to the server.

If the proxy's HTTP/2 implementation differs slightly from a real browser's (e.g., different SETTINGS frame values or stream prioritization), advanced anti-bot systems will flag the connection as synthetic before a single byte of HTML is returned.

// 03 — the latency cost

How much overhead
does interception add?

Decrypting and re-encrypting every packet isn't free. DataFlirt's interception proxies are optimized for API discovery, not production throughput, but we still track the cryptographic penalty to ensure timeouts aren't triggered.

Total TLS Overhead = Toverhead = Tclient_handshake + Tserver_handshake + Tcrypto
Two handshakes instead of one, plus symmetric encryption costs. Network engineering baseline
Proxy Latency Penalty = Lpenalty = LmitmLdirect
Target penalty < 45ms for seamless mobile app operation. DataFlirt discovery SLO
API Discovery Speed = Rdiscovery = Endpoints_mapped / Session_minutes
How fast a scoping engineer can map a target's backend. Internal scoping metric
// 04 — mitmproxy trace

Intercepting a mobile
app's hidden API.

A live trace of an iOS app's traffic being intercepted by a DataFlirt discovery proxy. The app thinks it's talking to the server; the server thinks it's talking to the app.

mitmproxyTLS 1.3JSON payload
edge.dataflirt.io — live
CAPTURED
// client connection initiated
client_hello: "api.target.com" (SNI)
proxy_action: generating fake cert for "api.target.com"
client_verify: OK (DataFlirt Root CA trusted)

// decrypted request
POST /v2/catalog/search HTTP/2
authorization: Bearer eyJhbG...
x-app-version: 4.12.0
x-telemetry-hash: "a9f8b2c1..." // anti-bot payload captured

// decrypted response
HTTP/2 200 OK
content-type: application/json
payload: {"results": [{"id": "99281", "price": 45.99}]}

// pipeline action
proxy_action: logged to discovery database
// 05 — interception blockers

Why interception
fails in the wild.

Modern apps don't trust the OS certificate store blindly. Ranked by frequency of interception failure during DataFlirt's API discovery phases.

SCOPING SESSIONS ·  ·  ·  1,200+ mobile apps
PINNING RATE ·  ·  ·  ·   ~42% of targets
UPDATED ·  ·  ·  ·  ·  ·  2026-05-19
01

Certificate Pinning (Mobile)

hard block · App hardcodes the expected public key hash
02

Mutual TLS (mTLS)

auth failure · Server requires a client certificate we don't have
03

Certificate Transparency

browser block · Chrome rejects certs not in public CT logs
04

Non-HTTP Protocols

parse failure · Custom TCP/UDP binary protocols bypass HTTP proxies
05

Root CA Detection

app crash · App scans OS trust store for known MITM certs
// 06 — our discovery stack

Intercept to discover,

replicate to scale.

DataFlirt uses HTTPS interception strictly during the pipeline scoping and discovery phase. We route a real device (iOS, Android, or Chrome) through our custom MITM cluster to map the target's undocumented APIs, capture authentication flows, and extract the exact headers required. Once the API contract is mapped, the production scraper talks directly to the target server. We never run MITM proxies in the production fetch path — it adds unnecessary latency, increases infrastructure costs, and fundamentally breaks TLS fingerprinting.

API Discovery Session

Live telemetry from a DataFlirt scoping run on a mobile target.

session.id scope-ios-042
device.target iPhone 14 Pro · iOS 17.4
proxy.mode transparent MITM
cert.pinning bypassed via Frida
endpoints.mapped 24 discovered
auth.flow OAuth2 + custom HMAC
pipeline.status ready for replication

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Anti-bot shifts, scraping infrastructure updates, dataset delivery patterns, and business outcomes from our pipelines. Short, technical, no fluff.

// 07 — FAQ

Common
questions.

About MITM proxies, certificate pinning, legal boundaries, and how DataFlirt maps undocumented APIs.

Ask us directly →
Is HTTPS interception legal? +
Intercepting traffic on devices you own and control, for the purpose of reverse-engineering public APIs, is generally lawful under interoperability and security research exemptions. Intercepting traffic on networks or devices you do not own is wiretapping. We only ever intercept traffic generated by our own scoping devices.
How do you bypass certificate pinning on iOS/Android? +
Certificate pinning means the app ignores the OS trust store and checks the server's certificate against a hardcoded hash. To bypass it, we use dynamic instrumentation frameworks like Frida or Objection on jailbroken/rooted devices to hook the TLS library functions (like SSL_CTX_set_custom_verify) at runtime and force them to return true.
Why not use interception in production scraping? +
It breaks TLS fingerprinting. When you use a MITM proxy, the target server sees the TLS fingerprint (JA3/JA4) of the proxy software (like mitmproxy or Squid), not the fingerprint of your scraper. Anti-bot systems will flag this immediately. DataFlirt uses interception to learn the API contract, then builds a direct client that perfectly mimics the required TLS signature.
Can anti-bot systems detect that I'm intercepting my own traffic? +
Yes, if the client executes JavaScript. Advanced bot management scripts (like DataDome or Akamai) can inspect the certificate issuer via WebRTC leaks or timing attacks, or detect the presence of proxy-injected headers. On mobile, SDKs can scan the device for installed custom Root CAs or jailbreak artifacts.
What's the difference between a forward proxy and an interception proxy? +
A standard forward proxy (like a residential proxy) blindly forwards encrypted TCP packets. It knows the destination IP and port, but cannot see the URL path, headers, or payload. An interception proxy terminates the TLS connection, decrypts the payload, inspects it, and creates a new TLS connection to the destination.
How do you handle WebSockets and gRPC? +
Modern interception tools like mitmproxy support WebSockets and HTTP/2 (which gRPC uses) out of the box. The challenge with gRPC isn't interception, it's deserialization — without the Protobuf schema (.proto file), the intercepted payload is just a binary blob. We use custom heuristics to reverse-engineer the Protobuf field definitions from the binary stream.
$ dataflirt scope --new-project --target=https-interception READY

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